From bcb55afddb72a6acbdbb6fe9cbf52cb5ff0190f7 Mon Sep 17 00:00:00 2001
From: GuyTeichman <48219633+GuyTeichman@users.noreply.github.com>
Date: Sat, 2 Apr 2022 22:49:13 +0300
Subject: [PATCH] updated documentation

---
 docs/build/.buildinfo                         |   2 +-
 docs/build/.doctrees/api_reference.doctree    | Bin 2632773 -> 2583214 bytes
 docs/build/.doctrees/authors.doctree          | Bin 4285 -> 4077 bytes
 docs/build/.doctrees/contributing.doctree     | Bin 20015 -> 19636 bytes
 docs/build/.doctrees/environment.pickle       | Bin 267111 -> 266657 bytes
 docs/build/.doctrees/genindex.doctree         | Bin 2320 -> 2278 bytes
 docs/build/.doctrees/glossary.doctree         | Bin 22129 -> 21863 bytes
 docs/build/.doctrees/history.doctree          | Bin 40471 -> 44376 bytes
 docs/build/.doctrees/index.doctree            | Bin 16594 -> 16571 bytes
 docs/build/.doctrees/installation.doctree     | Bin 8509 -> 8427 bytes
 docs/build/.doctrees/readme.doctree           | Bin 32300 -> 31970 bytes
 docs/build/.doctrees/rnalysis.doctree         | Bin 2120312 -> 2087673 bytes
 ...sis.enrichment.FeatureSet.biotypes.doctree | Bin 8845 -> 8592 bytes
 ...ichment.FeatureSet.change_set_name.doctree | Bin 6005 -> 5853 bytes
 ...s.enrichment.FeatureSet.difference.doctree | Bin 10959 -> 10716 bytes
 .../rnalysis.enrichment.FeatureSet.doctree    | Bin 39515 -> 39580 bytes
 ...t.FeatureSet.enrich_hypergeometric.doctree | Bin 52915 -> 50733 bytes
 ...nt.FeatureSet.enrich_randomization.doctree | Bin 48437 -> 46720 bytes
 ...eSet.enrich_randomization_parallel.doctree | Bin 45968 -> 44420 bytes
 ...nrichment.FeatureSet.go_enrichment.doctree | Bin 90579 -> 87225 bytes
 ...enrichment.FeatureSet.intersection.doctree | Bin 10924 -> 10681 bytes
 ...tureSet.non_categorical_enrichment.doctree | Bin 25312 -> 24482 bytes
 ...FeatureSet.plot_enrichment_results.doctree | Bin 2623 -> 2579 bytes
 ...sis.enrichment.FeatureSet.save_txt.doctree | Bin 7388 -> 7209 bytes
 ...nt.FeatureSet.symmetric_difference.doctree | Bin 11198 -> 10964 bytes
 ...alysis.enrichment.FeatureSet.union.doctree | Bin 10784 -> 10551 bytes
 ...ysis.enrichment.RankedSet.biotypes.doctree | Bin 8832 -> 8579 bytes
 ...richment.RankedSet.change_set_name.doctree | Bin 5991 -> 5839 bytes
 ...is.enrichment.RankedSet.difference.doctree | Bin 10946 -> 10703 bytes
 .../rnalysis.enrichment.RankedSet.doctree     | Bin 44380 -> 44529 bytes
 ...nt.RankedSet.enrich_hypergeometric.doctree | Bin 52901 -> 50719 bytes
 ...ent.RankedSet.enrich_randomization.doctree | Bin 48423 -> 46706 bytes
 ...dSet.enrich_randomization_parallel.doctree | Bin 45954 -> 44406 bytes
 ...enrichment.RankedSet.go_enrichment.doctree | Bin 90565 -> 87211 bytes
 ....enrichment.RankedSet.intersection.doctree | Bin 10911 -> 10668 bytes
 ...nkedSet.non_categorical_enrichment.doctree | Bin 25299 -> 24469 bytes
 ....RankedSet.plot_enrichment_results.doctree | Bin 2617 -> 2573 bytes
 ...ysis.enrichment.RankedSet.save_txt.doctree | Bin 7374 -> 7195 bytes
 ...nt.RankedSet.single_set_enrichment.doctree | Bin 37624 -> 36069 bytes
 ...RankedSet.single_set_go_enrichment.doctree | Bin 71433 -> 68957 bytes
 ...ent.RankedSet.symmetric_difference.doctree | Bin 11184 -> 10950 bytes
 ...nalysis.enrichment.RankedSet.union.doctree | Bin 10771 -> 10538 bytes
 .../.doctrees/rnalysis.enrichment.doctree     | Bin 13472 -> 13528 bytes
 ...enrichment.plot_enrichment_results.doctree | Bin 26554 -> 25160 bytes
 .../rnalysis.enrichment.upset_plot.doctree    | Bin 18445 -> 17760 bytes
 .../rnalysis.enrichment.venn_diagram.doctree  | Bin 35991 -> 34080 bytes
 ...sis.filtering.CountFilter.biotypes.doctree | Bin 10961 -> 10784 bytes
 ...sis.filtering.CountFilter.box_plot.doctree | Bin 16824 -> 16064 bytes
 ....filtering.CountFilter.clustergram.doctree | Bin 16649 -> 15946 bytes
 ...sis.filtering.CountFilter.describe.doctree | Bin 16618 -> 16351 bytes
 ...s.filtering.CountFilter.difference.doctree | Bin 17849 -> 17694 bytes
 .../rnalysis.filtering.CountFilter.doctree    | Bin 89901 -> 92659 bytes
 ...ring.CountFilter.enhanced_box_plot.doctree | Bin 14624 -> 14034 bytes
 ...ltering.CountFilter.filter_biotype.doctree | Bin 18165 -> 17539 bytes
 ...ng.CountFilter.filter_by_attribute.doctree | Bin 27567 -> 26711 bytes
 ...ring.CountFilter.filter_by_row_sum.doctree | Bin 13261 -> 12763 bytes
 ...ering.CountFilter.filter_low_reads.doctree | Bin 13576 -> 13079 bytes
 ....CountFilter.filter_missing_values.doctree | Bin 13128 -> 12870 bytes
 ...ring.CountFilter.filter_percentile.doctree | Bin 16055 -> 15498 bytes
 ...filtering.CountFilter.filter_top_n.doctree | Bin 24526 -> 23534 bytes
 ....filtering.CountFilter.fold_change.doctree | Bin 19761 -> 19107 bytes
 ....filtering.CountFilter.from_folder.doctree | Bin 22166 -> 21450 bytes
 ...nalysis.filtering.CountFilter.head.doctree | Bin 11071 -> 10843 bytes
 ...filtering.CountFilter.intersection.doctree | Bin 16211 -> 16252 bytes
 ...tFilter.majority_vote_intersection.doctree | Bin 0 -> 11435 bytes
 ...ering.CountFilter.normalize_to_rpm.doctree | Bin 11139 -> 10847 bytes
 ...ter.normalize_with_scaling_factors.doctree | Bin 11917 -> 11605 bytes
 ...ltering.CountFilter.number_filters.doctree | Bin 18992 -> 18259 bytes
 ...sis.filtering.CountFilter.pairplot.doctree | Bin 12389 -> 11992 bytes
 ...rnalysis.filtering.CountFilter.pca.doctree | Bin 15378 -> 15011 bytes
 ...tering.CountFilter.plot_expression.doctree | Bin 18176 -> 17718 bytes
 ...ltering.CountFilter.print_features.doctree | Bin 6267 -> 6214 bytes
 ...sis.filtering.CountFilter.save_csv.doctree | Bin 9369 -> 9099 bytes
 ...untFilter.scatter_sample_vs_sample.doctree | Bin 24347 -> 23465 bytes
 ...nalysis.filtering.CountFilter.sort.doctree | Bin 20017 -> 19299 bytes
 ...ing.CountFilter.split_by_attribute.doctree | Bin 13723 -> 13420 bytes
 ...ng.CountFilter.split_by_percentile.doctree | Bin 12145 -> 11804 bytes
 ...ltering.CountFilter.split_by_reads.doctree | Bin 11917 -> 11607 bytes
 ...iltering.CountFilter.split_hdbscan.doctree | Bin 35554 -> 34001 bytes
 ...ing.CountFilter.split_hierarchical.doctree | Bin 48356 -> 46883 bytes
 ...filtering.CountFilter.split_kmeans.doctree | Bin 43727 -> 42264 bytes
 ...ltering.CountFilter.split_kmedoids.doctree | Bin 47503 -> 45869 bytes
 ...g.CountFilter.symmetric_difference.doctree | Bin 15870 -> 15871 bytes
 ...nalysis.filtering.CountFilter.tail.doctree | Bin 12687 -> 12439 bytes
 ...filtering.CountFilter.text_filters.doctree | Bin 17946 -> 17178 bytes
 ...alysis.filtering.CountFilter.union.doctree | Bin 15297 -> 15325 bytes
 ....filtering.CountFilter.violin_plot.doctree | Bin 14004 -> 13552 bytes
 ...sis.filtering.DESeqFilter.biotypes.doctree | Bin 10961 -> 10784 bytes
 ...sis.filtering.DESeqFilter.describe.doctree | Bin 16618 -> 16351 bytes
 ...s.filtering.DESeqFilter.difference.doctree | Bin 17849 -> 17694 bytes
 .../rnalysis.filtering.DESeqFilter.doctree    | Bin 71266 -> 73162 bytes
 ...Filter.filter_abs_log2_fold_change.doctree | Bin 13974 -> 13505 bytes
 ...ltering.DESeqFilter.filter_biotype.doctree | Bin 18165 -> 17539 bytes
 ...ng.DESeqFilter.filter_by_attribute.doctree | Bin 27567 -> 26711 bytes
 ...ilter.filter_fold_change_direction.doctree | Bin 15340 -> 14872 bytes
 ....DESeqFilter.filter_missing_values.doctree | Bin 13128 -> 12870 bytes
 ...ring.DESeqFilter.filter_percentile.doctree | Bin 16055 -> 15498 bytes
 ...ing.DESeqFilter.filter_significant.doctree | Bin 14386 -> 13900 bytes
 ...filtering.DESeqFilter.filter_top_n.doctree | Bin 24526 -> 23534 bytes
 ...nalysis.filtering.DESeqFilter.head.doctree | Bin 11071 -> 10843 bytes
 ...filtering.DESeqFilter.intersection.doctree | Bin 16211 -> 16252 bytes
 ...qFilter.majority_vote_intersection.doctree | Bin 0 -> 11435 bytes
 ...ltering.DESeqFilter.number_filters.doctree | Bin 18992 -> 18259 bytes
 ...ltering.DESeqFilter.print_features.doctree | Bin 6267 -> 6214 bytes
 ...sis.filtering.DESeqFilter.save_csv.doctree | Bin 9369 -> 9099 bytes
 ...nalysis.filtering.DESeqFilter.sort.doctree | Bin 20017 -> 19299 bytes
 ...ing.DESeqFilter.split_by_attribute.doctree | Bin 13723 -> 13420 bytes
 ...ng.DESeqFilter.split_by_percentile.doctree | Bin 12145 -> 11804 bytes
 ...Filter.split_fold_change_direction.doctree | Bin 8567 -> 8437 bytes
 ...g.DESeqFilter.symmetric_difference.doctree | Bin 15870 -> 15871 bytes
 ...nalysis.filtering.DESeqFilter.tail.doctree | Bin 12687 -> 12439 bytes
 ...filtering.DESeqFilter.text_filters.doctree | Bin 17946 -> 17178 bytes
 ...alysis.filtering.DESeqFilter.union.doctree | Bin 15297 -> 15325 bytes
 ...filtering.DESeqFilter.volcano_plot.doctree | Bin 7922 -> 7715 bytes
 ...rnalysis.filtering.Filter.biotypes.doctree | Bin 10901 -> 10724 bytes
 ...rnalysis.filtering.Filter.describe.doctree | Bin 16553 -> 16286 bytes
 ...alysis.filtering.Filter.difference.doctree | Bin 17784 -> 17629 bytes
 .../rnalysis.filtering.Filter.doctree         | Bin 55313 -> 57061 bytes
 ...is.filtering.Filter.filter_biotype.doctree | Bin 18095 -> 17469 bytes
 ...ltering.Filter.filter_by_attribute.doctree | Bin 27497 -> 26641 bytes
 ...ering.Filter.filter_missing_values.doctree | Bin 13063 -> 12805 bytes
 ...filtering.Filter.filter_percentile.doctree | Bin 15985 -> 15428 bytes
 ...ysis.filtering.Filter.filter_top_n.doctree | Bin 24456 -> 23464 bytes
 .../rnalysis.filtering.Filter.head.doctree    | Bin 11006 -> 10778 bytes
 ...ysis.filtering.Filter.intersection.doctree | Bin 16146 -> 16187 bytes
 ....Filter.majority_vote_intersection.doctree | Bin 0 -> 11370 bytes
 ...is.filtering.Filter.number_filters.doctree | Bin 18922 -> 18189 bytes
 ...is.filtering.Filter.print_features.doctree | Bin 6202 -> 6149 bytes
 ...rnalysis.filtering.Filter.save_csv.doctree | Bin 9299 -> 9029 bytes
 .../rnalysis.filtering.Filter.sort.doctree    | Bin 19952 -> 19234 bytes
 ...iltering.Filter.split_by_attribute.doctree | Bin 13653 -> 13350 bytes
 ...ltering.Filter.split_by_percentile.doctree | Bin 12075 -> 11734 bytes
 ...tering.Filter.symmetric_difference.doctree | Bin 15800 -> 15801 bytes
 .../rnalysis.filtering.Filter.tail.doctree    | Bin 12622 -> 12374 bytes
 ...ysis.filtering.Filter.text_filters.doctree | Bin 17876 -> 17108 bytes
 .../rnalysis.filtering.Filter.union.doctree   | Bin 15232 -> 15260 bytes
 ...iltering.FoldChangeFilter.biotypes.doctree | Bin 11021 -> 10844 bytes
 ...iltering.FoldChangeFilter.describe.doctree | Bin 16683 -> 16416 bytes
 ...tering.FoldChangeFilter.difference.doctree | Bin 17914 -> 17759 bytes
 ...nalysis.filtering.FoldChangeFilter.doctree | Bin 64467 -> 66982 bytes
 ...Filter.filter_abs_log2_fold_change.doctree | Bin 14198 -> 13729 bytes
 ...ng.FoldChangeFilter.filter_biotype.doctree | Bin 18235 -> 17609 bytes
 ...ldChangeFilter.filter_by_attribute.doctree | Bin 27637 -> 26781 bytes
 ...ilter.filter_fold_change_direction.doctree | Bin 15813 -> 15345 bytes
 ...ChangeFilter.filter_missing_values.doctree | Bin 13193 -> 12935 bytes
 ...FoldChangeFilter.filter_percentile.doctree | Bin 16125 -> 15568 bytes
 ...ring.FoldChangeFilter.filter_top_n.doctree | Bin 24596 -> 23604 bytes
 ...is.filtering.FoldChangeFilter.head.doctree | Bin 11136 -> 10908 bytes
 ...ring.FoldChangeFilter.intersection.doctree | Bin 16276 -> 16317 bytes
 ...eFilter.majority_vote_intersection.doctree | Bin 0 -> 11500 bytes
 ...ng.FoldChangeFilter.number_filters.doctree | Bin 19062 -> 18329 bytes
 ...ng.FoldChangeFilter.print_features.doctree | Bin 6332 -> 6279 bytes
 ...oldChangeFilter.randomization_test.doctree | Bin 20922 -> 20149 bytes
 ...iltering.FoldChangeFilter.save_csv.doctree | Bin 9439 -> 9169 bytes
 ...is.filtering.FoldChangeFilter.sort.doctree | Bin 20082 -> 19364 bytes
 ...oldChangeFilter.split_by_attribute.doctree | Bin 13793 -> 13490 bytes
 ...ldChangeFilter.split_by_percentile.doctree | Bin 12215 -> 11874 bytes
 ...Filter.split_fold_change_direction.doctree | Bin 9018 -> 8888 bytes
 ...dChangeFilter.symmetric_difference.doctree | Bin 15940 -> 15941 bytes
 ...is.filtering.FoldChangeFilter.tail.doctree | Bin 12752 -> 12504 bytes
 ...ring.FoldChangeFilter.text_filters.doctree | Bin 18016 -> 17248 bytes
 ...s.filtering.FoldChangeFilter.union.doctree | Bin 15362 -> 15390 bytes
 ...is.filtering.Pipeline.add_function.doctree | Bin 9508 -> 9385 bytes
 ...alysis.filtering.Pipeline.apply_to.doctree | Bin 23317 -> 22744 bytes
 .../rnalysis.filtering.Pipeline.doctree       | Bin 18946 -> 18775 bytes
 ...ring.Pipeline.remove_last_function.doctree | Bin 5637 -> 5583 bytes
 .../.doctrees/rnalysis.filtering.doctree      | Bin 12735 -> 12762 bytes
 docs/build/.doctrees/rnalysis.general.doctree | Bin 15423 -> 15630 bytes
 ...sis.general.parse_gene_name_string.doctree | Bin 6330 -> 6255 bytes
 ...general.parse_sequence_name_string.doctree | Bin 6330 -> 6255 bytes
 ...alysis.general.parse_wbgene_string.doctree | Bin 6292 -> 6218 bytes
 ...alysis.general.print_settings_file.doctree | Bin 5066 -> 5012 bytes
 ...alysis.general.reset_settings_file.doctree | Bin 4135 -> 4091 bytes
 .../rnalysis.general.save_to_csv.doctree      | Bin 6736 -> 6637 bytes
 ...is.general.set_attr_ref_table_path.doctree | Bin 7179 -> 7058 bytes
 ...general.set_biotype_ref_table_path.doctree | Bin 7204 -> 7083 bytes
 docs/build/.doctrees/user_guide.doctree       | Bin 410804 -> 406117 bytes
 ...tFilter.majority_vote_intersection.rst.txt |   6 +
 .../rnalysis.filtering.CountFilter.rst.txt    |   3 +-
 ...qFilter.majority_vote_intersection.rst.txt |   6 +
 .../rnalysis.filtering.DESeqFilter.rst.txt    |   3 +-
 ....Filter.majority_vote_intersection.rst.txt |   6 +
 .../rnalysis.filtering.Filter.rst.txt         |   3 +-
 ...eFilter.majority_vote_intersection.rst.txt |   6 +
 ...nalysis.filtering.FoldChangeFilter.rst.txt |   3 +-
 docs/build/_static/basic.css                  |   3 +-
 docs/build/_static/css/theme.css              |   4 +-
 docs/build/_static/doctools.js                |  77 +-
 docs/build/_static/documentation_options.js   |   6 +-
 docs/build/_static/js/theme.js                |   2 +-
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 docs/build/_static/searchtools.js             |  10 +-
 docs/build/api_reference.html                 | 637 +++++++--------
 docs/build/authors.html                       | 167 +---
 docs/build/contributing.html                  | 210 ++---
 docs/build/genindex.html                      | 154 +---
 docs/build/glossary.html                      | 175 +----
 docs/build/history.html                       | 304 +++-----
 docs/build/index.html                         | 174 +----
 docs/build/installation.html                  | 167 +---
 docs/build/objects.inv                        | Bin 3290 -> 3357 bytes
 docs/build/py-modindex.html                   | 140 +---
 docs/build/readme.html                        | 203 ++---
 ...alysis.enrichment.FeatureSet.biotypes.html | 159 +---
 ...enrichment.FeatureSet.change_set_name.html | 159 +---
 ...ysis.enrichment.FeatureSet.difference.html | 159 +---
 ...ment.FeatureSet.enrich_hypergeometric.html | 175 +----
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 ...s.enrichment.FeatureSet.go_enrichment.html | 175 +----
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 ...FeatureSet.non_categorical_enrichment.html | 159 +---
 ...nt.FeatureSet.plot_enrichment_results.html | 150 +---
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 ...hment.RankedSet.enrich_hypergeometric.html | 175 +----
 ...chment.RankedSet.enrich_randomization.html | 175 +----
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 docs/build/rnalysis.enrichment.RankedSet.html | 162 +---
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 .../build/rnalysis.enrichment.upset_plot.html | 166 +---
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 .../build/rnalysis.filtering.CountFilter.html | 212 ++---
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 ...ountFilter.majority_vote_intersection.html | 211 +++++
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 380 files changed, 6021 insertions(+), 24779 deletions(-)
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 create mode 100644 docs/build/.doctrees/rnalysis.filtering.DESeqFilter.majority_vote_intersection.doctree
 create mode 100644 docs/build/.doctrees/rnalysis.filtering.Filter.majority_vote_intersection.doctree
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 create mode 100644 docs/build/_sources/rnalysis.filtering.DESeqFilter.majority_vote_intersection.rst.txt
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 create mode 100644 docs/build/rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html
 create mode 100644 docs/source/rnalysis.filtering.CountFilter.majority_vote_intersection.rst
 create mode 100644 docs/source/rnalysis.filtering.DESeqFilter.majority_vote_intersection.rst
 create mode 100644 docs/source/rnalysis.filtering.Filter.majority_vote_intersection.rst
 create mode 100644 docs/source/rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.rst

diff --git a/docs/build/.buildinfo b/docs/build/.buildinfo
index 1217b812e..1eac1fe58 100644
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diff --git a/docs/build/.doctrees/authors.doctree b/docs/build/.doctrees/authors.doctree
index e41b507d8907bc5f1c4edead507152a66a0fe2b5..05b2e9dd2aedb15bbf590c2559ca7ababe2dc432 100644
GIT binary patch
delta 1361
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delta 1607
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diff --git a/docs/build/.doctrees/contributing.doctree b/docs/build/.doctrees/contributing.doctree
index 7152cb50175bfc48f1dd7d73f49014d031becc96..cf4677fee1e34bc35e1f1d9bc14dbc3afa276832 100644
GIT binary patch
delta 4765
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delta 5326
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diff --git a/docs/build/.doctrees/environment.pickle b/docs/build/.doctrees/environment.pickle
index 80ec465f68567ce7fcb537c9a508c8978dbba491..3f7caafead9e773b88d66490925277040d9469af 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/genindex.doctree b/docs/build/.doctrees/genindex.doctree
index e0b6252dbfe86b977ded60809df238434034f6af..87102139819769661bcbc7eddb15ca0124eb6055 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/glossary.doctree b/docs/build/.doctrees/glossary.doctree
index 21e2d7c597b98fe788bd84ed39ba77f746ec215b..a671b3fdf6046d9ff653f15a9d05d8f38f782f0e 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/index.doctree b/docs/build/.doctrees/index.doctree
index 155926971896b534fa27c9d581c10f3a330162d5..8e2257162dea94ff43aa01fd416e6ed0a1d54d2c 100644
GIT binary patch
delta 4270
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delta 4333
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diff --git a/docs/build/.doctrees/installation.doctree b/docs/build/.doctrees/installation.doctree
index db8627e6fbd81867bd2978e95736e7247e97519f..77d2b7b335c9ecd83c85a46af8267024adf284e4 100644
GIT binary patch
delta 2217
zcmb7FS!^3s6wP=|9IuI!+QhM)I6GNPwz>|Yq)iD?QX_>DrKnjPdz|N~6T4nejT8Zb
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delta 2424
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diff --git a/docs/build/.doctrees/readme.doctree b/docs/build/.doctrees/readme.doctree
index 42c3ba6e69f043eaf1ee7c2800ef86585d5e5a5e..9e3f1e576cf93329de49fbc08e1bcb784c3fcde0 100644
GIT binary patch
literal 31970
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diff --git a/docs/build/.doctrees/rnalysis.doctree b/docs/build/.doctrees/rnalysis.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.biotypes.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.biotypes.doctree
index 3ac49f5aa7b284bec3b6adf88d75a9229a1bd304..2b56eff3c73afe582dcb93541fc1bd59fdcfcd18 100644
GIT binary patch
delta 2494
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delta 2783
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.enrich_hypergeometric.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.enrich_hypergeometric.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.enrich_randomization.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.enrich_randomization.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.enrich_randomization_parallel.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.enrich_randomization_parallel.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.go_enrichment.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.go_enrichment.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.intersection.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.intersection.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.non_categorical_enrichment.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.non_categorical_enrichment.doctree
index 2215a614d8a7e9433a612cd2ef50062ae770623a..5d56927e8e650329cc5cbb3d938203c400452efb 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.save_txt.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.save_txt.doctree
index 144495159143b33a3017a28be3b4353762dab75f..32043b052adb44840285429a10c3c320dea44ee7 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.symmetric_difference.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.symmetric_difference.doctree
index 388ec62d6628dba8ad4eeacc0057083bfe41366d..1099a6e113d78495d1a62fa623ac323afe3c4384 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.union.doctree b/docs/build/.doctrees/rnalysis.enrichment.FeatureSet.union.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.biotypes.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.biotypes.doctree
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GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.change_set_name.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.change_set_name.doctree
index 31016e100091834941d0f8bdb8d156c328c1545c..ffa987a0930cdf0a67bcb620525c8dd832a2f467 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.difference.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.difference.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.enrich_hypergeometric.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.enrich_hypergeometric.doctree
index dcb07c5f32eee3d7ab7c2c5466f72f1cf3dd2f45..c6ec945626ab0272db7c4456e5dcd3c93efb1a3b 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.enrich_randomization.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.enrich_randomization.doctree
index 14ef16b06e8a488e445779d3e15218deaa414f79..19718f67a0f735ea20a58ddb7a4c9dfacf0d6099 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.enrich_randomization_parallel.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.enrich_randomization_parallel.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.go_enrichment.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.go_enrichment.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.intersection.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.intersection.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.non_categorical_enrichment.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.non_categorical_enrichment.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.plot_enrichment_results.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.plot_enrichment_results.doctree
index 650abe5bb06e3ff13872ffcd79eca809d399d4d6..15a98c11ec22d3c07f49cf56d3d75ec001fd33c6 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.save_txt.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.save_txt.doctree
index 395551ef73646eec4bca822050b00bf54ad2fe47..377976588f437c626b8e0beb3b93e56b98e13fac 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.single_set_enrichment.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.single_set_enrichment.doctree
index e89acaec70610027c8ba812a3c9dcb425ee39ec5..1d74795d18765d5fbbc7c6afff0805961f63e2b9 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.single_set_go_enrichment.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.single_set_go_enrichment.doctree
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.RankedSet.symmetric_difference.doctree b/docs/build/.doctrees/rnalysis.enrichment.RankedSet.symmetric_difference.doctree
index 429e1fc620ad945c73fb812a981d61bde472bd3d..9c40a1c98fe070fcbbf2664afe87787c88836bbc 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.plot_enrichment_results.doctree b/docs/build/.doctrees/rnalysis.enrichment.plot_enrichment_results.doctree
index 62b74392d86829dfb054b80bf6357459e3773fcd..e5cd9ef1ca122ba038f7d310c85d3e6e234f13f5 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.upset_plot.doctree b/docs/build/.doctrees/rnalysis.enrichment.upset_plot.doctree
index 9a193da04538a140287f62d80d8df51b936a019d..4bdb262869475eecd31361dc175e1713852f4efc 100644
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diff --git a/docs/build/.doctrees/rnalysis.enrichment.venn_diagram.doctree b/docs/build/.doctrees/rnalysis.enrichment.venn_diagram.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.clustergram.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.clustergram.doctree
index 136f902229c0975bde9ca3f28656ca5423839594..0bfe7ec230e494fb171fdf3d64ab48e8f302c632 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.describe.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.describe.doctree
index 489985fd18be7ced51e3cc1d3447dc5776616950..22d9b3ae1344388f3fd66873935ce995db0cff64 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.difference.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.difference.doctree
index a782af259f80941028846e365a6434c627afd2e1..c493acf7db50c4c06ee0e5cb63b604ff23a379cf 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.doctree
index ced52527b7b04e33ea2596fa8d76b4547c5429ad..ed5f1008e29078444fea643625599a85843852ac 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.enhanced_box_plot.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.enhanced_box_plot.doctree
index 5d60bacf6369072b49c85472a82dd4d9e764ee9a..0a2cd4ec02c027b7938fe7403cae17cbc5b853a7 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_biotype.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_biotype.doctree
index 3f1f25cb1b312e598f0879dc0df3307a59bf114d..a257c30d6057dd0c370dc53f970f10d1848bdd6d 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_by_attribute.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_by_attribute.doctree
index 5fd3411ddce923f8147e08bc1ccf3d13e16907cc..6f30092c9fcec041940f1fa18b4c109b76ef751c 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_low_reads.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_low_reads.doctree
index 91cb5d1830b41613e477d8cdf4a61a8954823c4d..1935c71bd49fd677b13fb60b509bb8ed23774066 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_missing_values.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_missing_values.doctree
index ad826514850bca8b89ea63047fa89303a9812c1c..95cc4a92a0e3fd67ad387f981dd2f406c25cc498 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_percentile.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_percentile.doctree
index e966dd1b965354fc1559e42c4a92b0c91a18700c..7cb814e02503b4b8f2269a63d6854215bdadb042 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_top_n.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.filter_top_n.doctree
index e70163bac20953f21f0ffd74a08c6d905060be13..ea49e3fa0860829fad89eee5bff4dc63ce03ef00 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.fold_change.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.fold_change.doctree
index 5422a892616a1e190a3f7cc03f1e6d8f7ba1f4ac..d28298dba36984fbd9cc6e2cec34debb6027f0c2 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.from_folder.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.from_folder.doctree
index 08a0d7bffc267de4087bd8dfc9bf9e94b39f7b91..3d7c6e91abada4f3accf90e5622abd0fa9c5fc69 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.head.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.head.doctree
index ceba547a3f5ab64d5a0d7ea60cbc259426eb5b6b..1f2138c070e435f5aa1d8391e314ed1d5c48b295 100644
GIT binary patch
delta 2947
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delta 3168
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voNP8R+3-6c$3^2g14?%F?koz0{c<dT{wP5M4=s)W@hedu#~7n#B6a=;MWzp|

diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.intersection.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.intersection.doctree
index 491ca5b9278c16ffe08ad8e18bc4bea89c315f8f..73248d03cb98f2e620f3b43d785adf595002a06b 100644
GIT binary patch
literal 16252
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literal 16211
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.normalize_to_rpm.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.normalize_to_rpm.doctree
index ea1c3b86af8ba69ce117462591e1d2c5690a09d8..af69df575c8ea423085388b997711a4a167135db 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.normalize_with_scaling_factors.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.normalize_with_scaling_factors.doctree
index 51f65ce9acd76b92bff3abda1d80c6907784b3d6..dfd4f35801760f015782dabcadf086d700c03c3f 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.pairplot.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.pairplot.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.pca.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.pca.doctree
index 88bcb355296054f01ab573b8235efcaa1f4d1047..ab152f0f211d1c75830c35d768c7d225fef42c97 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.plot_expression.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.plot_expression.doctree
index 726c30aef9936974c70b897d8e90f48e88e906f8..8a603685cea4a3d6be322d645229c6e78ea9a498 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.scatter_sample_vs_sample.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.scatter_sample_vs_sample.doctree
index a23efa8f407f6cd837a3fc51fb06a9108c0e51f9..97743828c463e5e4b4fd4fb0d9a8b5d07293a234 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.sort.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.sort.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_by_attribute.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_by_attribute.doctree
index f0244214c9b0d64c180de4b5f27da326ff4022bc..12abec44abbc9d916f65aecbaaeb8422aa167fce 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_hdbscan.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_hdbscan.doctree
index 6f94751a9f8e395a8cd1d2d930d3badcadc258c0..70b1ceb3eba7833689ef38c032b1bd5a7f712394 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_hierarchical.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_hierarchical.doctree
index 6488808f6f29f82ce39fc9da8295652406a1adcb..d3b8777e6ac7cc0a0589b560f2a4cbc9c6a7a1a3 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_kmeans.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_kmeans.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_kmedoids.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.split_kmedoids.doctree
index 6aed51c00126b60fa29dba0681075817b311dfeb..22578659b767b69e3753c1bf367225761a7b1af1 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.symmetric_difference.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.symmetric_difference.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.tail.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.tail.doctree
index bd14fff0d1ad1178e0ed5e2945643f2e64125f93..7734cbb5756994795080d2eb95fc97d24a95d0e9 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.text_filters.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.text_filters.doctree
index b96adf083ce248c9d4ee4279a7be2907b4f3776e..f174e8cabbe96ebe90bff2bec9f3cf693e146512 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.CountFilter.violin_plot.doctree b/docs/build/.doctrees/rnalysis.filtering.CountFilter.violin_plot.doctree
index 12e0f5a02abeb758db0637032a0336e8260e00fe..9590be3ca091501474bf3f970d2073d4ee40fd12 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.biotypes.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.biotypes.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.difference.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.difference.doctree
index 5a61bb14cf70acee207d52d8ffdc3fc0ba424421..24d869af6a80f81ae5df91a6ea1cbd2f0d04407a 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_abs_log2_fold_change.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_abs_log2_fold_change.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_biotype.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_biotype.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_by_attribute.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_by_attribute.doctree
index b7768beb1124193c26070a9643f156c60700d841..00f20a804b1c6ef67570300da53e4936076b94a6 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_missing_values.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_missing_values.doctree
index 2c67cc392f9007b8deeba8687065b0a7cc5950b2..1e4f5c16b829825ac689b4a124462fb25cfd2959 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_percentile.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_percentile.doctree
index ebd9886a979515c905e1742edac20477de33f407..14337dae66be085cf6d6394ab5014b9f47535b95 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_significant.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_significant.doctree
index 9dc7212d6d1fba01870e0779c35c81308376d46f..00efaf715a4020785faa1f6867f2b7e067ceb0a5 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_top_n.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.filter_top_n.doctree
index 0d88cfac11c3770dacc3f0066b39f0e173f6c587..da4c19966c23fa6bcc9af8840e487aca805d32db 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.head.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.head.doctree
index f2b727e23e7678196c3bbba90c0cc1e8655154f4..f4aca3a1166af8f3740595929dff1f2b8dcf3f9e 100644
GIT binary patch
delta 2947
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delta 3168
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.intersection.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.intersection.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.print_features.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.print_features.doctree
index 8e996aa7e6251983cd2a80d489778023122797e5..beb8d3e946d8376759b58b7c631aba3b75c4acff 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.split_by_attribute.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.split_by_attribute.doctree
index ce2197b12f48ed3e81e83e7da6687e17ffbb858c..64f37504c5a517e8ed4d320a20e1946b41bb8c41 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.split_by_percentile.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.split_by_percentile.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.tail.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.tail.doctree
index 5c0795cf1e95ae0beece61b96ee0b771a1aa3e70..0b50e1599111a0666c2e47f5ca107b97f3aa7245 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.text_filters.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.text_filters.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.union.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.union.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.volcano_plot.doctree b/docs/build/.doctrees/rnalysis.filtering.DESeqFilter.volcano_plot.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.biotypes.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.biotypes.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.describe.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.describe.doctree
index d3ea39c531d1d2a20807d1bb5559e4be443ff9e5..6f077187d12359b35681199a167da044230d6bda 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.difference.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.difference.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.filter_biotype.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.filter_biotype.doctree
index ddb8b9e5e77ff472ae4c39197daf40f9b91d6629..c174d0bcc9b282b2d3b0609d8f964230c1b32295 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.filter_by_attribute.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.filter_by_attribute.doctree
index e82de9c1d72be625b5a5de6d2d66d154215d425b..09ed70e9a7ee67828cc69b7a4f981c2b9d845173 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.filter_missing_values.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.filter_missing_values.doctree
index 3deb1c461f34fb5a6d61bc21fd52bbf0277f4a77..de81036071e43a2417b92b02ef4a540974d14bf5 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.filter_percentile.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.filter_percentile.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.filter_top_n.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.filter_top_n.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.head.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.head.doctree
index 9fce1c9d9267ae060800ad809ca339a05e52b27a..67d46015d99a292df85871fb10e546bdd7a8fdbc 100644
GIT binary patch
delta 2969
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delta 3216
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.intersection.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.intersection.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.print_features.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.print_features.doctree
index d4ab90245a2f9f70ed0c893abd8d340bdb86faf0..53c78c57cb08a5d17996dcada03d67663b2c7787 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.save_csv.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.save_csv.doctree
index 2396c814a0855eb1984d72997fa30fffcde2f048..4e822b38ff896ba84dca01d461aa54c51d57ac84 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.sort.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.sort.doctree
index bd90e114906d6ed4a0027a006eb5ca3419964be7..6341c37e09ed223a4344871555ac68d2693636b2 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.split_by_attribute.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.split_by_attribute.doctree
index 760dc74cd443e8df51cae02ea615f5c69bfd3b19..4b3498385aca9c044a67d053c5d4e0d203b6748f 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.split_by_percentile.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.split_by_percentile.doctree
index 4cb4a6568a9614c960a2c989f879cbe559684e8b..66ee176810843855f6cf084803e02dc630452950 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.symmetric_difference.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.symmetric_difference.doctree
index 4d67ae85bc03372515d94fcd44d9e9c48c198d9b..48c09575dfb6fcb0904ac46c0745fb093883fbf2 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.tail.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.tail.doctree
index 73c1945de2c891034a8e8a963972156277ce7aee..49000eed5b5df13983778c0f9692784e56b0d588 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.text_filters.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.text_filters.doctree
index 348a4c7c0aa1ef4211607fc74a8a80b1006fd19f..0391ec9e0b10940f72c298190b6fa58b40e5be04 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Filter.union.doctree b/docs/build/.doctrees/rnalysis.filtering.Filter.union.doctree
index 6a31970811e97dd77f4f8dd80543aaf1cd0c85c7..7a4cefb8e648a4d9511e602d9af076fe668f9392 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.difference.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.difference.doctree
index 2de38b60a53e54f30c3a5e734cebc780c5fe91cf..e079630595317b6c1bd435cb0c7ed5c46b92e527 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.doctree
index 10a919423a4d2be6649f33d9a3a513d19f8a9a5f..56f95e9ba24c65fcb96f66dc0b271907ae0b6534 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_abs_log2_fold_change.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_abs_log2_fold_change.doctree
index f386d5659440e99a06c21adad83cd04973a3272d..7c151132ad46d378fc9a78ec692cdd52323ac788 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_biotype.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_biotype.doctree
index f68bed56c9d1eba623a791ea2bc7c142746ebab8..57188e640e87c4925a2ddc260c15625f5216756d 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_by_attribute.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_by_attribute.doctree
index 4758fcbb8d762057a0331394095672856d2060d7..d9210f292fbd2f10dd9b70a736be587a43733b6b 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_fold_change_direction.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_fold_change_direction.doctree
index 0aee80e4a89814c6af6887f9d172ea85186132d0..6e9a501e142090e1031135ddfaaa910716804254 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_missing_values.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_missing_values.doctree
index 731985bedbca4f9a5f57d41a6115cf4ccd122978..9e602be58bf98749423e5990723c7c16c3514f83 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_percentile.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_percentile.doctree
index 938aad2981f30c9a21a25727a2c8111b442a42f3..71e2b17314780d4f2d2d7568a54de10ae2d84ee1 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_top_n.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.filter_top_n.doctree
index 191fa07eeed9cf874d5738c84883ba97e9b0d2f0..dc8bbd97fd794ca7f1bcfb8442d9470c1ea434b4 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.head.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.head.doctree
index 6691bb6d75810fd74e5d1eb400e248287a40525d..0ba95475e358a594a97a12a4d51e95f3ccdb6da8 100644
GIT binary patch
delta 2983
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delta 3170
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.intersection.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.intersection.doctree
index 0f18524af72996fc9a9d5da130e21ecd5717dead..6eddcf5d86907edcd98d7bd705f734d2e34d0fe6 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.print_features.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.print_features.doctree
index d2bd9f6107b8277088ae0e841cff6ae40c565dbb..5413bc4201f76f8be4be66b314139bfd64e477e4 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.randomization_test.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.randomization_test.doctree
index b085d6f596d2ef54ce11768518b646fbb3f95f6d..e418c65ebfec556b41fb3d3c806184d9ae65f704 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.save_csv.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.save_csv.doctree
index 70c9dbd37555008559fd54f479a83151e7763bd7..35873fdacb46a824d13cc695f0aae70d900b1841 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.sort.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.sort.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.split_by_attribute.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.split_by_attribute.doctree
index 54f17a2a155cc6493737d5365e2325ccb8033793..f2b0aee9146dc7ad29b424c64751d38de800dc50 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.split_by_percentile.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.split_by_percentile.doctree
index 4c70ab7e5571fbdf0d8c2fe075b5f5a11f6488ed..57dfa369d8e7fb1db41971239a24cd5605b5f117 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.tail.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.tail.doctree
index 1893f101d7bbe9e79b219101724c8e988ea2f5fb..28ae26e5da871e24ea1511dd486ced854f7f2e23 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.text_filters.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.text_filters.doctree
index a496c1b5db211a05c1885c949006de386bd57241..9882b21e43e05147b4176239a962c6d9f5ce6783 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.union.doctree b/docs/build/.doctrees/rnalysis.filtering.FoldChangeFilter.union.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Pipeline.add_function.doctree b/docs/build/.doctrees/rnalysis.filtering.Pipeline.add_function.doctree
index 702f68a079cf6ed21ceef24d3e1d4b6241b694ad..43b7c40cd49db287402855afe41a9147618a29e8 100644
GIT binary patch
delta 2367
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Pipeline.apply_to.doctree b/docs/build/.doctrees/rnalysis.filtering.Pipeline.apply_to.doctree
index 207c023a9a6fde3c1dba6a81591d0c728b8954d5..559069b2ca90c340d4403e3195b6a7a055c39a06 100644
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Pipeline.doctree b/docs/build/.doctrees/rnalysis.filtering.Pipeline.doctree
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diff --git a/docs/build/.doctrees/rnalysis.filtering.Pipeline.remove_last_function.doctree b/docs/build/.doctrees/rnalysis.filtering.Pipeline.remove_last_function.doctree
index 09fb8cbc2055339062f3d00a268e4df495e98bfc..499c0f9e2cab14ba4204c3faa53ed1f522dade70 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/rnalysis.filtering.doctree b/docs/build/.doctrees/rnalysis.filtering.doctree
index b25d9723186dbdf26776ada08e6030cc1161a401..31534bc69e3f60a3d6f6075161dd8879d9e66d5e 100644
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diff --git a/docs/build/.doctrees/rnalysis.general.doctree b/docs/build/.doctrees/rnalysis.general.doctree
index 22c9255b58ae6f89d5cbb1d7c03e417f38304f2f..73f6b734130585dbdcc9a8d82d2f5cc690d21853 100644
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diff --git a/docs/build/.doctrees/rnalysis.general.parse_sequence_name_string.doctree b/docs/build/.doctrees/rnalysis.general.parse_sequence_name_string.doctree
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diff --git a/docs/build/.doctrees/rnalysis.general.parse_wbgene_string.doctree b/docs/build/.doctrees/rnalysis.general.parse_wbgene_string.doctree
index 813fa7b08d4ae6a2cd93ea596e11a956298db2f4..c6cc1711121c106016ad06e15ba9be527131035f 100644
GIT binary patch
delta 1396
zcma)6O-vI(6lVGh1r%&cOT?O5P>@m}QAiNmm=OG_>78h8w%wt#rR|pP79oLDjwE{_
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delta 1433
zcma)6Ur19?7~h?9b5k?jKP7ddqs+FcPzi>v67xYE5%d&mZo8+QJFfSx-8-F?X%9UZ
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diff --git a/docs/build/.doctrees/rnalysis.general.print_settings_file.doctree b/docs/build/.doctrees/rnalysis.general.print_settings_file.doctree
index 44740320b41d736f9e307d8dce55d241add0d7ff..e2b7daac750d6c1548d97d1e202472d235ce166c 100644
GIT binary patch
delta 1184
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delta 1191
zcma)6T}u>E7<Tr<bzRf7LK8n$)+NPuXCe9kK|&0TKK7#9+Lm$VxMyN^&bo6Zl@g2S
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diff --git a/docs/build/.doctrees/rnalysis.general.reset_settings_file.doctree b/docs/build/.doctrees/rnalysis.general.reset_settings_file.doctree
index e3e1b96c764a0afa26e5ccae08a6b908378a4d18..8c034055f27f1973cc43d1ff0f713343d5d2b12e 100644
GIT binary patch
delta 929
zcmZ`&&1(}u6nBzrvI(06C5K3D+7PU*NfRk;g;FX7Nzq7dil8xUcBgr3lif7C0SguN
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delta 1027
zcmaJ=KWGzC81E%bnxu)XP+G;diEXH%G#3;>2$YINS}4un;Go8MxqH3u<nrEm?_JxV
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diff --git a/docs/build/.doctrees/rnalysis.general.save_to_csv.doctree b/docs/build/.doctrees/rnalysis.general.save_to_csv.doctree
index 141682c6d9d65750bcd0d1d0907b6e721c9530e9..b752d7ecabe44ec929b6048fc00b2cfa29ff9701 100644
GIT binary patch
delta 2154
zcma)7Z)h8381E&y{A;?gZgvT6uj`U(v$Tm=r<k=H1MOfb84N_U)^NGI<h@&ZcgtP6
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delta 2220
zcma)7O>7%g5YEQ2*MDi7&^l?GI9BX{TVh-Mgn%RSQ>fA?Y6M6P2V~6JyYbs)z3Y0{
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diff --git a/docs/build/.doctrees/rnalysis.general.set_attr_ref_table_path.doctree b/docs/build/.doctrees/rnalysis.general.set_attr_ref_table_path.doctree
index 81cc3f260fd7a11bd3b9a228df3684ce1ed1c068..6a55c12b88608b0d52e006758bc9ef802bb79e51 100644
GIT binary patch
delta 2123
zcmah~-A^M`6yMu2w50_EDh0}iwV*34?W!RtY|u>%E6dtVOia{(-C;WA&d|;bovGLe
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diff --git a/docs/build/.doctrees/rnalysis.general.set_biotype_ref_table_path.doctree b/docs/build/.doctrees/rnalysis.general.set_biotype_ref_table_path.doctree
index 3601a8bfb08f6400bd67a3841caaf69f6318267f..b23b1ccf55f1b863ae0cb5310054719dfeafe192 100644
GIT binary patch
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diff --git a/docs/build/.doctrees/user_guide.doctree b/docs/build/.doctrees/user_guide.doctree
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GIT binary patch
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diff --git a/docs/build/_sources/rnalysis.filtering.CountFilter.majority_vote_intersection.rst.txt b/docs/build/_sources/rnalysis.filtering.CountFilter.majority_vote_intersection.rst.txt
new file mode 100644
index 000000000..f96293936
--- /dev/null
+++ b/docs/build/_sources/rnalysis.filtering.CountFilter.majority_vote_intersection.rst.txt
@@ -0,0 +1,6 @@
+rnalysis.filtering.CountFilter.majority\_vote\_intersection
+===========================================================
+
+.. currentmodule:: rnalysis.filtering
+
+.. automethod:: CountFilter.majority_vote_intersection
\ No newline at end of file
diff --git a/docs/build/_sources/rnalysis.filtering.CountFilter.rst.txt b/docs/build/_sources/rnalysis.filtering.CountFilter.rst.txt
index 59b6b7550..27c7f0296 100644
--- a/docs/build/_sources/rnalysis.filtering.CountFilter.rst.txt
+++ b/docs/build/_sources/rnalysis.filtering.CountFilter.rst.txt
@@ -1,4 +1,4 @@
-rnalysis.filtering.CountFilter
+rnalysis.filtering.CountFilter
 ==============================
 
 .. currentmodule:: rnalysis.filtering
@@ -33,6 +33,7 @@ rnalysis.filtering.CountFilter
     CountFilter.from_folder
     CountFilter.head
     CountFilter.intersection
+    CountFilter.majority_vote_intersection
     CountFilter.normalize_to_rpm
     CountFilter.normalize_with_scaling_factors
     CountFilter.number_filters
diff --git a/docs/build/_sources/rnalysis.filtering.DESeqFilter.majority_vote_intersection.rst.txt b/docs/build/_sources/rnalysis.filtering.DESeqFilter.majority_vote_intersection.rst.txt
new file mode 100644
index 000000000..23084c495
--- /dev/null
+++ b/docs/build/_sources/rnalysis.filtering.DESeqFilter.majority_vote_intersection.rst.txt
@@ -0,0 +1,6 @@
+rnalysis.filtering.DESeqFilter.majority\_vote\_intersection
+===========================================================
+
+.. currentmodule:: rnalysis.filtering
+
+.. automethod:: DESeqFilter.majority_vote_intersection
\ No newline at end of file
diff --git a/docs/build/_sources/rnalysis.filtering.DESeqFilter.rst.txt b/docs/build/_sources/rnalysis.filtering.DESeqFilter.rst.txt
index d9c87cd4d..8f8f4ca6f 100644
--- a/docs/build/_sources/rnalysis.filtering.DESeqFilter.rst.txt
+++ b/docs/build/_sources/rnalysis.filtering.DESeqFilter.rst.txt
@@ -1,4 +1,4 @@
-rnalysis.filtering.DESeqFilter
+rnalysis.filtering.DESeqFilter
 ==============================
 
 .. currentmodule:: rnalysis.filtering
@@ -29,6 +29,7 @@ rnalysis.filtering.DESeqFilter
     DESeqFilter.filter_top_n
     DESeqFilter.head
     DESeqFilter.intersection
+    DESeqFilter.majority_vote_intersection
     DESeqFilter.number_filters
     DESeqFilter.print_features
     DESeqFilter.save_csv
diff --git a/docs/build/_sources/rnalysis.filtering.Filter.majority_vote_intersection.rst.txt b/docs/build/_sources/rnalysis.filtering.Filter.majority_vote_intersection.rst.txt
new file mode 100644
index 000000000..cd4f274f5
--- /dev/null
+++ b/docs/build/_sources/rnalysis.filtering.Filter.majority_vote_intersection.rst.txt
@@ -0,0 +1,6 @@
+rnalysis.filtering.Filter.majority\_vote\_intersection
+======================================================
+
+.. currentmodule:: rnalysis.filtering
+
+.. automethod:: Filter.majority_vote_intersection
\ No newline at end of file
diff --git a/docs/build/_sources/rnalysis.filtering.Filter.rst.txt b/docs/build/_sources/rnalysis.filtering.Filter.rst.txt
index 0974f920f..33b2f01e0 100644
--- a/docs/build/_sources/rnalysis.filtering.Filter.rst.txt
+++ b/docs/build/_sources/rnalysis.filtering.Filter.rst.txt
@@ -1,4 +1,4 @@
-rnalysis.filtering.Filter
+rnalysis.filtering.Filter
 =========================
 
 .. currentmodule:: rnalysis.filtering
@@ -26,6 +26,7 @@ rnalysis.filtering.Filter
     Filter.filter_top_n
     Filter.head
     Filter.intersection
+    Filter.majority_vote_intersection
     Filter.number_filters
     Filter.print_features
     Filter.save_csv
diff --git a/docs/build/_sources/rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.rst.txt b/docs/build/_sources/rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.rst.txt
new file mode 100644
index 000000000..940b8a845
--- /dev/null
+++ b/docs/build/_sources/rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.rst.txt
@@ -0,0 +1,6 @@
+rnalysis.filtering.FoldChangeFilter.majority\_vote\_intersection
+================================================================
+
+.. currentmodule:: rnalysis.filtering
+
+.. automethod:: FoldChangeFilter.majority_vote_intersection
\ No newline at end of file
diff --git a/docs/build/_sources/rnalysis.filtering.FoldChangeFilter.rst.txt b/docs/build/_sources/rnalysis.filtering.FoldChangeFilter.rst.txt
index 06497d196..bf5f193e1 100644
--- a/docs/build/_sources/rnalysis.filtering.FoldChangeFilter.rst.txt
+++ b/docs/build/_sources/rnalysis.filtering.FoldChangeFilter.rst.txt
@@ -1,4 +1,4 @@
-rnalysis.filtering.FoldChangeFilter
+rnalysis.filtering.FoldChangeFilter
 ===================================
 
 .. currentmodule:: rnalysis.filtering
@@ -28,6 +28,7 @@ rnalysis.filtering.FoldChangeFilter
     FoldChangeFilter.filter_top_n
     FoldChangeFilter.head
     FoldChangeFilter.intersection
+    FoldChangeFilter.majority_vote_intersection
     FoldChangeFilter.number_filters
     FoldChangeFilter.print_features
     FoldChangeFilter.randomization_test
diff --git a/docs/build/_static/basic.css b/docs/build/_static/basic.css
index 603f6a879..bf18350b6 100644
--- a/docs/build/_static/basic.css
+++ b/docs/build/_static/basic.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -757,6 +757,7 @@ span.pre {
     -ms-hyphens: none;
     -webkit-hyphens: none;
     hyphens: none;
+    white-space: nowrap;
 }
 
 div[class*="highlight-"] {
diff --git a/docs/build/_static/css/theme.css b/docs/build/_static/css/theme.css
index 8cd4f101a..0d9ae7e1a 100644
--- a/docs/build/_static/css/theme.css
+++ b/docs/build/_static/css/theme.css
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#7fbbe3;background:#e7f2fa;font-size:80%;font-weight:700;border-radius:4px;padding:2.4px 6px;margin:auto 2px}.rst-content .versionmodified{font-style:italic}@media screen and (max-width:480px){.rst-content .sidebar{width:100%}}span[id*=MathJax-Span]{color:#404040}.math{text-align:center}@font-face{font-family:Lato;src:url(fonts/lato-normal.woff2?bd03a2cc277bbbc338d464e679fe9942) format("woff2"),url(fonts/lato-normal.woff?27bd77b9162d388cb8d4c4217c7c5e2a) format("woff");font-weight:400;font-style:normal;font-display:block}@font-face{font-family:Lato;src:url(fonts/lato-bold.woff2?cccb897485813c7c256901dbca54ecf2) format("woff2"),url(fonts/lato-bold.woff?d878b6c29b10beca227e9eef4246111b) format("woff");font-weight:700;font-style:normal;font-display:block}@font-face{font-family:Lato;src:url(fonts/lato-bold-italic.woff2?0b6bb6725576b072c5d0b02ecdd1900d) format("woff2"),url(fonts/lato-bold-italic.woff?9c7e4e9eb485b4a121c760e61bc3707c) 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\ No newline at end of file
diff --git a/docs/build/_static/doctools.js b/docs/build/_static/doctools.js
index 8cbf1b161..e1bfd708b 100644
--- a/docs/build/_static/doctools.js
+++ b/docs/build/_static/doctools.js
@@ -4,7 +4,7 @@
  *
  * Sphinx JavaScript utilities for all documentation.
  *
- * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -154,9 +154,7 @@ var Documentation = {
     this.fixFirefoxAnchorBug();
     this.highlightSearchWords();
     this.initIndexTable();
-    if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) {
-      this.initOnKeyListeners();
-    }
+    this.initOnKeyListeners();
   },
 
   /**
@@ -264,6 +262,16 @@ var Documentation = {
   hideSearchWords : function() {
     $('#searchbox .highlight-link').fadeOut(300);
     $('span.highlighted').removeClass('highlighted');
+    var url = new URL(window.location);
+    url.searchParams.delete('highlight');
+    window.history.replaceState({}, '', url);
+  },
+
+   /**
+   * helper function to focus on search bar
+   */
+  focusSearchBar : function() {
+    $('input[name=q]').first().focus();
   },
 
   /**
@@ -288,27 +296,54 @@ var Documentation = {
   },
 
   initOnKeyListeners: function() {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+        !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
+        return;
+
     $(document).keydown(function(event) {
       var activeElementType = document.activeElement.tagName;
       // don't navigate when in search box, textarea, dropdown or button
       if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
-          && activeElementType !== 'BUTTON' && !event.altKey && !event.ctrlKey && !event.metaKey
-          && !event.shiftKey) {
-        switch (event.keyCode) {
-          case 37: // left
-            var prevHref = $('link[rel="prev"]').prop('href');
-            if (prevHref) {
-              window.location.href = prevHref;
-              return false;
-            }
-            break;
-          case 39: // right
-            var nextHref = $('link[rel="next"]').prop('href');
-            if (nextHref) {
-              window.location.href = nextHref;
-              return false;
-            }
-            break;
+          && activeElementType !== 'BUTTON') {
+        if (event.altKey || event.ctrlKey || event.metaKey)
+          return;
+
+          if (!event.shiftKey) {
+            switch (event.key) {
+              case 'ArrowLeft':
+                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
+                  break;
+                var prevHref = $('link[rel="prev"]').prop('href');
+                if (prevHref) {
+                  window.location.href = prevHref;
+                  return false;
+                }
+                break;
+              case 'ArrowRight':
+                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
+                  break;
+                var nextHref = $('link[rel="next"]').prop('href');
+                if (nextHref) {
+                  window.location.href = nextHref;
+                  return false;
+                }
+                break;
+              case 'Escape':
+                if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
+                  break;
+                Documentation.hideSearchWords();
+                return false;
+          }
+        }
+
+        // some keyboard layouts may need Shift to get /
+        switch (event.key) {
+          case '/':
+            if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
+              break;
+            Documentation.focusSearchBar();
+            return false;
         }
       }
     });
diff --git a/docs/build/_static/documentation_options.js b/docs/build/_static/documentation_options.js
index 5a94801b9..15926ec54 100644
--- a/docs/build/_static/documentation_options.js
+++ b/docs/build/_static/documentation_options.js
@@ -1,6 +1,6 @@
 var DOCUMENTATION_OPTIONS = {
     URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
-    VERSION: '2.0.0',
+    VERSION: '2.0.1',
     LANGUAGE: 'None',
     COLLAPSE_INDEX: false,
     BUILDER: 'html',
@@ -8,5 +8,7 @@ var DOCUMENTATION_OPTIONS = {
     LINK_SUFFIX: '.html',
     HAS_SOURCE: true,
     SOURCELINK_SUFFIX: '.txt',
-    NAVIGATION_WITH_KEYS: false
+    NAVIGATION_WITH_KEYS: false,
+    SHOW_SEARCH_SUMMARY: true,
+    ENABLE_SEARCH_SHORTCUTS: true,
 };
\ No newline at end of file
diff --git a/docs/build/_static/js/theme.js b/docs/build/_static/js/theme.js
index 839d07e2b..1fddb6ee4 100644
--- a/docs/build/_static/js/theme.js
+++ b/docs/build/_static/js/theme.js
@@ -1 +1 @@
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+!function(n){var e={};function t(i){if(e[i])return e[i].exports;var o=e[i]={i:i,l:!1,exports:{}};return n[i].call(o.exports,o,o.exports,t),o.l=!0,o.exports}t.m=n,t.c=e,t.d=function(n,e,i){t.o(n,e)||Object.defineProperty(n,e,{enumerable:!0,get:i})},t.r=function(n){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(n,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(n,"__esModule",{value:!0})},t.t=function(n,e){if(1&e&&(n=t(n)),8&e)return n;if(4&e&&"object"==typeof n&&n&&n.__esModule)return n;var i=Object.create(null);if(t.r(i),Object.defineProperty(i,"default",{enumerable:!0,value:n}),2&e&&"string"!=typeof n)for(var o in n)t.d(i,o,function(e){return n[e]}.bind(null,o));return i},t.n=function(n){var e=n&&n.__esModule?function(){return n.default}:function(){return n};return t.d(e,"a",e),e},t.o=function(n,e){return Object.prototype.hasOwnProperty.call(n,e)},t.p="",t(t.s=0)}([function(n,e,t){t(1),n.exports=t(3)},function(n,e,t){(function(){var 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\ No newline at end of file
diff --git a/docs/build/_static/language_data.js b/docs/build/_static/language_data.js
index 863704b31..ebe2f03bf 100644
--- a/docs/build/_static/language_data.js
+++ b/docs/build/_static/language_data.js
@@ -5,7 +5,7 @@
  * This script contains the language-specific data used by searchtools.js,
  * namely the list of stopwords, stemmer, scorer and splitter.
  *
- * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
diff --git a/docs/build/_static/pygments.css b/docs/build/_static/pygments.css
index 582d5c3ad..08bec689d 100644
--- a/docs/build/_static/pygments.css
+++ b/docs/build/_static/pygments.css
@@ -5,22 +5,22 @@ td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5
 span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
 .highlight .hll { background-color: #ffffcc }
 .highlight { background: #f8f8f8; }
-.highlight .c { color: #408080; font-style: italic } /* Comment */
+.highlight .c { color: #3D7B7B; font-style: italic } /* Comment */
 .highlight .err { border: 1px solid #FF0000 } /* Error */
 .highlight .k { color: #008000; font-weight: bold } /* Keyword */
 .highlight .o { color: #666666 } /* Operator */
-.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
-.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
-.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
-.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
-.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
-.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
+.highlight .ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #9C6500 } /* Comment.Preproc */
+.highlight .cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */
 .highlight .gd { color: #A00000 } /* Generic.Deleted */
 .highlight .ge { font-style: italic } /* Generic.Emph */
-.highlight .gr { color: #FF0000 } /* Generic.Error */
+.highlight .gr { color: #E40000 } /* Generic.Error */
 .highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
-.highlight .gi { color: #00A000 } /* Generic.Inserted */
-.highlight .go { color: #888888 } /* Generic.Output */
+.highlight .gi { color: #008400 } /* Generic.Inserted */
+.highlight .go { color: #717171 } /* Generic.Output */
 .highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
 .highlight .gs { font-weight: bold } /* Generic.Strong */
 .highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
@@ -33,15 +33,15 @@ span.linenos.special { color: #000000; background-color: #ffffc0; padding-left:
 .highlight .kt { color: #B00040 } /* Keyword.Type */
 .highlight .m { color: #666666 } /* Literal.Number */
 .highlight .s { color: #BA2121 } /* Literal.String */
-.highlight .na { color: #7D9029 } /* Name.Attribute */
+.highlight .na { color: #687822 } /* Name.Attribute */
 .highlight .nb { color: #008000 } /* Name.Builtin */
 .highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
 .highlight .no { color: #880000 } /* Name.Constant */
 .highlight .nd { color: #AA22FF } /* Name.Decorator */
-.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
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+.highlight .ni { color: #717171; font-weight: bold } /* Name.Entity */
+.highlight .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */
 .highlight .nf { color: #0000FF } /* Name.Function */
-.highlight .nl { color: #A0A000 } /* Name.Label */
+.highlight .nl { color: #767600 } /* Name.Label */
 .highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
 .highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
 .highlight .nv { color: #19177C } /* Name.Variable */
@@ -58,11 +58,11 @@ span.linenos.special { color: #000000; background-color: #ffffc0; padding-left:
 .highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
 .highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
 .highlight .s2 { color: #BA2121 } /* Literal.String.Double */
-.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
+.highlight .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */
 .highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
-.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
+.highlight .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */
 .highlight .sx { color: #008000 } /* Literal.String.Other */
-.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
+.highlight .sr { color: #A45A77 } /* Literal.String.Regex */
 .highlight .s1 { color: #BA2121 } /* Literal.String.Single */
 .highlight .ss { color: #19177C } /* Literal.String.Symbol */
 .highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
diff --git a/docs/build/_static/searchtools.js b/docs/build/_static/searchtools.js
index 002e9c4a2..0a44e8582 100644
--- a/docs/build/_static/searchtools.js
+++ b/docs/build/_static/searchtools.js
@@ -4,7 +4,7 @@
  *
  * Sphinx JavaScript utilities for the full-text search.
  *
- * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -172,10 +172,6 @@ var Search = {
       }
       // stem the word
       var word = stemmer.stemWord(tmp[i].toLowerCase());
-      // prevent stemmer from cutting word smaller than two chars
-      if(word.length < 3 && tmp[i].length >= 3) {
-        word = tmp[i];
-      }
       var toAppend;
       // select the correct list
       if (word[0] == '-') {
@@ -276,7 +272,7 @@ var Search = {
           setTimeout(function() {
             displayNextItem();
           }, 5);
-        } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
+        } else if (DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY) {
           $.ajax({url: requestUrl,
                   dataType: "text",
                   complete: function(jqxhr, textstatus) {
@@ -293,7 +289,7 @@ var Search = {
                     }, 5);
                   }});
         } else {
-          // no source available, just display title
+          // just display title
           Search.output.append(listItem);
           setTimeout(function() {
             displayNextItem();
diff --git a/docs/build/api_reference.html b/docs/build/api_reference.html
index 89777017b..f4f87e955 100644
--- a/docs/build/api_reference.html
+++ b/docs/build/api_reference.html
@@ -1,79 +1,35 @@
-
-
 <!DOCTYPE html>
 <html class="writer-html5" lang="en" >
 <head>
   <meta charset="utf-8" />
-  <meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
-
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  
-  <title>API Reference &mdash; RNAlysis 2.0.0 documentation</title>
-  
-
-  
-  <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
-  <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
-  <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
-  <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
-
-  
-  
+  <title>API Reference &mdash; RNAlysis 2.0.1 documentation</title>
+      <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
+      <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
     <link rel="shortcut icon" href="_static/favicon.ico"/>
-  
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     <script src="_static/js/html5shiv.min.js"></script>
   <![endif]-->
   
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-      <script type="text/javascript" id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
         <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
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         <script src="_static/doctools.js"></script>
         <script src="_static/copybutton.js"></script>
-    
-    <script type="text/javascript" src="_static/js/theme.js"></script>
-
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+    <script src="_static/js/theme.js"></script>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="prev" title="Index" href="genindex.html" /> 
 </head>
 
-<body class="wy-body-for-nav">
-
-   
+<body class="wy-body-for-nav"> 
   <div class="wy-grid-for-nav">
-    
     <nav data-toggle="wy-nav-shift" class="wy-nav-side">
       <div class="wy-side-scroll">
         <div class="wy-side-nav-search" >
-          
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             <a href="index.html">
-          
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             <img src="_static/logo.png" class="logo" alt="Logo"/>
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 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="search.html" method="get">
     <input type="text" name="q" placeholder="Search docs" />
@@ -81,18 +37,7 @@
     <input type="hidden" name="area" value="default" />
   </form>
 </div>
-
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-        <div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
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+        </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="readme.html">What is <em>RNAlysis?</em></a></li>
@@ -131,79 +76,38 @@
 </li>
 </ul>
 
-            
-          
         </div>
-        
       </div>
     </nav>
 
-    <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap">
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+          <div role="navigation" aria-label="Page navigation">
   <ul class="wy-breadcrumbs">
-    
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-        
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 </div>
           <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
            <div itemprop="articleBody">
-            
-  <section id="api-reference">
-<h1>API Reference<a class="headerlink" href="#api-reference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="api-reference">
+<h1>API Reference<a class="headerlink" href="#api-reference" title="Permalink to this headline"></a></h1>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>Private functions are not meant to be used out of context, and doing so may lead to unexpected results.</p>
 </div>
-<section id="rnalysis-filtering-module">
-<h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-module" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="rnalysis-filtering-module">
+<h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-module" title="Permalink to this headline"></a></h2>
 <p>This module can filter, normalize, intersect and visualize tabular data such as read counts and differential expression data.
 Any tabular data saved in a csv format can be imported. Use this module to perform various filtering operations on your data,  normalize your data, perform set operations (union, intersection, etc), run basic exploratory analyses and plots (such as PCA, clustergram, violin plots, scatter, etc), save the filtered data to your computer, and more.
 When you save filtered/modified data, its new file name will include by default  all of the operations performed on it, in the order they were performed, to allow easy traceback of your analyses.</p>
@@ -307,7 +211,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 
 <dl class="py method">
 <dt class="sig sig-object py">
-<span class="sig-name descname"><span class="pre">_set_ops</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">others</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">op</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span></dt>
+<span class="sig-name descname"><span class="pre">_set_ops</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">others</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">op</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span></dt>
 <dd><p>Apply the supplied set operation (union/intersection/difference/symmetric difference) to the supplied objects.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -315,6 +219,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – the other objects to apply the set operation to</p></li>
 <li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em>) – the return type of the output</p></li>
 <li><p><strong>op</strong> (<em>function</em><em> (</em><em>set.union</em><em>, </em><em>set.intersection</em><em>, </em><em>set.difference</em><em> or </em><em>set.symmetric_difference</em><em>)</em>) – the set operation</p></li>
+<li><p><strong>kwargs</strong> – any additional keyworded arguments to be supplied to the set operation.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns</dt>
@@ -401,12 +306,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>a seaborn boxplot object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id9">
+<div class="figure align-center" id="id9">
 <a class="reference internal image-reference" href="???.png"><img alt="???.png" src="???.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of box_plot()</span><a class="headerlink" href="#id9" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of box_plot()</span><a class="headerlink" href="#id9" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -425,12 +328,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>A seaborn clustermap object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id10">
+<div class="figure align-center" id="id10">
 <a class="reference internal image-reference" href="_images/clustergram.png"><img alt="_images/clustergram.png" src="_images/clustergram.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of clustergram()</span><a class="headerlink" href="#id10" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of clustergram()</span><a class="headerlink" href="#id10" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py property">
@@ -516,15 +417,15 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -562,12 +463,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>a seaborn enhanced box-plot object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id11">
+<div class="figure align-center" id="id11">
 <a class="reference internal image-reference" href="???.png"><img alt="???.png" src="???.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enhanced_box_plot()</span><a class="headerlink" href="#id11" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enhanced_box_plot()</span><a class="headerlink" href="#id11" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -1001,20 +900,20 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -1032,6 +931,33 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">normalize_to_rpm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">special_counter_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span></dt>
@@ -1138,12 +1064,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>An instance of seaborn.PairGrid.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id12">
+<div class="figure align-center" id="id12">
 <a class="reference internal image-reference" href="_images/pairplot.png"><img alt="_images/pairplot.png" src="_images/pairplot.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of pairplot()</span><a class="headerlink" href="#id12" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of pairplot()</span><a class="headerlink" href="#id12" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -1161,12 +1085,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 :type labels: bool (default=True)
 :param labels: if True, labels the points on the PCA plot.
 :return: A tuple whose first element is an sklearn.decomposition.pca object,         and second element is a list of matplotlib.axis objects.</p>
-<figure class="align-center" id="id13">
+<div class="figure align-center" id="id13">
 <a class="reference internal image-reference" href="_images/pca.png"><img alt="_images/pca.png" src="_images/pca.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of pca()</span><a class="headerlink" href="#id13" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of pca()</span><a class="headerlink" href="#id13" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -1182,12 +1104,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 </ul>
 </dd>
 </dl>
-<figure class="align-center" id="id14">
+<div class="figure align-center" id="id14">
 <a class="reference internal image-reference" href="_images/plot_expression.png"><img alt="_images/plot_expression.png" src="_images/plot_expression.png" style="width: 403.6px; height: 294.40000000000003px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of plot_expression()</span><a class="headerlink" href="#id14" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of plot_expression()</span><a class="headerlink" href="#id14" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -1258,12 +1178,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>a matplotlib axis object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id15">
+<div class="figure align-center" id="id15">
 <a class="reference internal image-reference" href="_images/rpm_vs_rpm.png"><img alt="_images/rpm_vs_rpm.png" src="_images/rpm_vs_rpm.png" style="width: 480.0px; height: 477.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of scatter_sample_vs_sample()</span><a class="headerlink" href="#id15" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of scatter_sample_vs_sample()</span><a class="headerlink" href="#id15" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py attribute">
@@ -1499,14 +1417,14 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -1613,12 +1531,12 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -1663,12 +1581,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>a seaborn violin object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id16">
+<div class="figure align-center" id="id16">
 <a class="reference internal image-reference" href="_images/violin.png"><img alt="_images/violin.png" src="_images/violin.png" style="width: 1152.0px; height: 556.1999999999999px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of violin_plot()</span><a class="headerlink" href="#id16" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of violin_plot()</span><a class="headerlink" href="#id16" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 </dd></dl>
@@ -1732,7 +1648,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 
 <dl class="py method">
 <dt class="sig sig-object py">
-<span class="sig-name descname"><span class="pre">_set_ops</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">others</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">op</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span></dt>
+<span class="sig-name descname"><span class="pre">_set_ops</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">others</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">op</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span></dt>
 <dd><p>Apply the supplied set operation (union/intersection/difference/symmetric difference) to the supplied objects.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1740,6 +1656,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – the other objects to apply the set operation to</p></li>
 <li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em>) – the return type of the output</p></li>
 <li><p><strong>op</strong> (<em>function</em><em> (</em><em>set.union</em><em>, </em><em>set.intersection</em><em>, </em><em>set.difference</em><em> or </em><em>set.symmetric_difference</em><em>)</em>) – the set operation</p></li>
+<li><p><strong>kwargs</strong> – any additional keyworded arguments to be supplied to the set operation.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns</dt>
@@ -1891,15 +1808,15 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -2324,20 +2241,20 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -2361,6 +2278,33 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd><p>name of the log2 fold change column</p>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span></dt>
@@ -2592,14 +2536,14 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -2700,12 +2644,12 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -2744,12 +2688,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-odd"><p><strong>alpha</strong> (<em>float between 0 and 1</em>) – the significance threshold to color data points as significantly up/down-regulated.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id17">
+<div class="figure align-center" id="id17">
 <a class="reference internal image-reference" href="_images/volcano.png"><img alt="_images/volcano.png" src="_images/volcano.png" style="width: 448.0px; height: 333.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of volcano_plot()</span><a class="headerlink" href="#id17" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of volcano_plot()</span><a class="headerlink" href="#id17" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 </dd></dl>
@@ -2813,7 +2755,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 
 <dl class="py method">
 <dt class="sig sig-object py">
-<span class="sig-name descname"><span class="pre">_set_ops</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">others</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">op</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span></dt>
+<span class="sig-name descname"><span class="pre">_set_ops</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">others</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">op</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span></dt>
 <dd><p>Apply the supplied set operation (union/intersection/difference/symmetric difference) to the supplied objects.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2821,6 +2763,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – the other objects to apply the set operation to</p></li>
 <li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em>) – the return type of the output</p></li>
 <li><p><strong>op</strong> (<em>function</em><em> (</em><em>set.union</em><em>, </em><em>set.intersection</em><em>, </em><em>set.difference</em><em> or </em><em>set.symmetric_difference</em><em>)</em>) – the set operation</p></li>
+<li><p><strong>kwargs</strong> – any additional keyworded arguments to be supplied to the set operation.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns</dt>
@@ -2973,15 +2916,15 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -3312,20 +3255,20 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -3343,6 +3286,33 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span></dt>
@@ -3546,14 +3516,14 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -3654,12 +3624,12 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -3757,7 +3727,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 
 <dl class="py method">
 <dt class="sig sig-object py">
-<span class="sig-name descname"><span class="pre">_set_ops</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">others</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">op</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span></dt>
+<span class="sig-name descname"><span class="pre">_set_ops</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">others</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">op</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span></dt>
 <dd><p>Apply the supplied set operation (union/intersection/difference/symmetric difference) to the supplied objects.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3765,6 +3735,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – the other objects to apply the set operation to</p></li>
 <li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em>) – the return type of the output</p></li>
 <li><p><strong>op</strong> (<em>function</em><em> (</em><em>set.union</em><em>, </em><em>set.intersection</em><em>, </em><em>set.difference</em><em> or </em><em>set.symmetric_difference</em><em>)</em>) – the set operation</p></li>
+<li><p><strong>kwargs</strong> – any additional keyworded arguments to be supplied to the set operation.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns</dt>
@@ -3922,15 +3893,15 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -4325,20 +4296,20 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -4356,6 +4327,33 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span></dt>
@@ -4625,14 +4623,14 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -4733,12 +4731,12 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -4772,7 +4770,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 
 <dl class="py class">
 <dt class="sig sig-object py">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">Pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_type:</span> <span class="pre">Union[str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.Filter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.CountFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.DESeqFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.FoldChangeFilter]</span> <span class="pre">=</span> <span class="pre">&lt;class</span> <span class="pre">'rnalysis.filtering.Filter'&gt;</span></span></em><span class="sig-paren">)</span></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">Pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_type:</span> <span class="pre">typing.Union[str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.Filter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.CountFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.DESeqFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.FoldChangeFilter]</span> <span class="pre">=</span> <span class="pre">&lt;class</span> <span class="pre">'rnalysis.filtering.Filter'&gt;</span></span></em><span class="sig-paren">)</span></dt>
 <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
 <p>A collection of functions to be applied sequentially to Filter objects.</p>
 <p><strong>Attributes</strong></p>
@@ -4994,9 +4992,9 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 
 </dd></dl>
 
-</section>
-<section id="rnalysis-enrichment-module">
-<h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-module" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="rnalysis-enrichment-module">
+<h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-module" title="Permalink to this headline"></a></h2>
 <p>This module can perform enrichment analyses on a given set of genomic features and visualize their intersections. These include gene ontology/tissue/phenotype enrichment, enrichment for user-defined attributes, set visualization ,etc. Results of enrichment analyses can be saved to .csv files.</p>
 <dl class="py class">
 <dt class="sig sig-object py">
@@ -5105,18 +5103,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 <dd class="field-odd"><p>a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id18">
+<div class="figure align-center" id="id18">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id18" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id19">
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id18" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id19">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id19" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id19" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -5151,18 +5145,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id20">
+<div class="figure align-center" id="id20">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id20" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id21">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id20" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id21">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id21" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id21" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -5195,18 +5185,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :type random_seed: The random seed used to initialize the pseudorandom generator for the randomization test.         By default it is picked at random, but you can set it to a particular integer to get consistents results         over multiple runs.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id22">
+<div class="figure align-center" id="id22">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id22" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id23">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id22" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id23">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id23" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id23" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py attribute">
@@ -5264,18 +5250,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id24">
+<div class="figure align-center" id="id24">
 <a class="reference internal image-reference" href="plot_enrichment_results_go.png"><img alt="plot_enrichment_results_go.png" src="plot_enrichment_results_go.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id24" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id25">
+<p class="caption"><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id24" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id25">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_vertical.png"><img alt="plot_enrichment_results_go_vertical.png" src="plot_enrichment_results_go_vertical.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id25" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id25" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -5492,18 +5474,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 <dd class="field-odd"><p>a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id26">
+<div class="figure align-center" id="id26">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id26" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id27">
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id26" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id27">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id27" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id27" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -5538,18 +5516,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id28">
+<div class="figure align-center" id="id28">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id28" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id29">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id28" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id29">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id29" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id29" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -5582,18 +5556,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :type random_seed: The random seed used to initialize the pseudorandom generator for the randomization test.         By default it is picked at random, but you can set it to a particular integer to get consistents results         over multiple runs.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id30">
+<div class="figure align-center" id="id30">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id30" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id31">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id30" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id31">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id31" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id31" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py attribute">
@@ -5650,18 +5620,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id32">
+<div class="figure align-center" id="id32">
 <a class="reference internal image-reference" href="plot_enrichment_results_go.png"><img alt="plot_enrichment_results_go.png" src="plot_enrichment_results_go.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id32" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id33">
+<p class="caption"><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id32" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id33">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_vertical.png"><img alt="plot_enrichment_results_go_vertical.png" src="plot_enrichment_results_go_vertical.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id33" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id33" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -5739,18 +5705,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 <dd class="field-odd"><p>a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id34">
+<div class="figure align-center" id="id34">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_single_set.png"><img alt="_images/plot_enrichment_results_single_set.png" src="_images/plot_enrichment_results_single_set.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_enrichment()</span><a class="headerlink" href="#id34" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id35">
+<p class="caption"><span class="caption-text">Example plot of single_set_enrichment()</span><a class="headerlink" href="#id34" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id35">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_single_set_vertical.png"><img alt="_images/plot_enrichment_results_single_set_vertical.png" src="_images/plot_enrichment_results_single_set_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id35" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of single_set_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id35" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -5794,18 +5756,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id36">
+<div class="figure align-center" id="id36">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_singlelist.png"><img alt="plot_enrichment_results_go_singlelist.png" src="plot_enrichment_results_go_singlelist.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_go_enrichment()</span><a class="headerlink" href="#id36" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id37">
+<p class="caption"><span class="caption-text">Example plot of single_set_go_enrichment()</span><a class="headerlink" href="#id36" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id37">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_singlelist_vertical.png"><img alt="plot_enrichment_results_go_singlelist_vertical.png" src="plot_enrichment_results_go_singlelist_vertical.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id37" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of single_set_go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id37" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -5942,12 +5900,10 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 </dd>
 <dt class="field-even">Returns</dt>
 <dd class="field-even"><p><p>a dictionary of matplotlib axes, where the keys are ‘matrix’, ‘intersections’, ‘totals’, ‘shading’.</p>
-<figure class="align-center" id="id38">
+<div class="figure align-center" id="id38">
 <a class="reference internal image-reference" href="_images/upsetplot.png"><img alt="_images/upsetplot.png" src="_images/upsetplot.png" style="width: 552.3px; height: 340.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id38" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id38" title="Permalink to this image"></a></p>
+</div>
 </p>
 </dd>
 </dl>
@@ -5975,25 +5931,23 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 </dd>
 <dt class="field-even">Returns</dt>
 <dd class="field-even"><p><p>a tuple of a VennDiagram object; and a list of 2-3 Circle patches.</p>
-<figure class="align-center" id="id39">
+<div class="figure align-center" id="id39">
 <a class="reference internal image-reference" href="_images/venn.png"><img alt="_images/venn.png" src="_images/venn.png" style="width: 550.1999999999999px; height: 416.5px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id39" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id39" title="Permalink to this image"></a></p>
+</div>
 </p>
 </dd>
 </dl>
 </dd></dl>
 
-</section>
-<section id="rnalysis-general-module">
-<h2>rnalysis.general module<a class="headerlink" href="#rnalysis-general-module" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="rnalysis-general-module">
+<h2>rnalysis.general module<a class="headerlink" href="#rnalysis-general-module" title="Permalink to this headline"></a></h2>
 <p>This module contains general-purpose functions. Those include saving Filter objects and result tables, reading and updating the settings file, parsing common types of genomic feature indices, etc.</p>
 <dl class="py function">
 <dt class="sig sig-object py">
 <span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">parse_gene_name_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Receives a string that contains gene names (like ‘daf-2’ or ‘lin15B’).     Parses the string into a set of gene names.     The format of a gene name is a sequence consisting of the expression     ‘[a-z]{3,4}’, the character ‘-’, and the expression ‘[A-Z,0-9]{1,4}’.
+<dd><p>Receives a string that contains gene names (like ‘daf-2’ or ‘lin15B’).     Parses the string into a set of gene names.     The format of a gene name is a sequence consisting of the expression     ‘[a-z]{3,4}’, the character ‘-‘, and the expression ‘[A-Z,0-9]{1,4}’.
 :type string: str
 :param string: The string to be parsed. Can be any format of string.
 :return:
@@ -6122,58 +6076,41 @@ <h2>rnalysis.general module<a class="headerlink" href="#rnalysis-general-module"
 </div>
 </dd></dl>
 
-</section>
-<section id="rnalysis-utils-module">
-<h2>rnalysis.utils module<a class="headerlink" href="#rnalysis-utils-module" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="rnalysis-utils-module">
+<h2>rnalysis.utils module<a class="headerlink" href="#rnalysis-utils-module" title="Permalink to this headline"></a></h2>
 <p>This module contains various utility functions. This module is used mainly by other modules, and is meant for internal use only.</p>
-</section>
-</section>
+</div>
+</div>
 
 
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diff --git a/docs/build/authors.html b/docs/build/authors.html
index 67ed2a915..93b5b7de0 100644
--- a/docs/build/authors.html
+++ b/docs/build/authors.html
@@ -1,80 +1,36 @@
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 <html class="writer-html5" lang="en" >
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+  <title>Credits &mdash; RNAlysis 2.0.1 documentation</title>
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@@ -82,18 +38,7 @@
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 </div>
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               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
 <ul class="current">
 <li class="toctree-l1"><a class="reference internal" href="readme.html">What is <em>RNAlysis?</em></a></li>
@@ -130,135 +75,77 @@
 <li class="toctree-l1"><a class="reference internal" href="api_reference.html">API Reference</a></li>
 </ul>
 
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-            
-  <section id="credits">
-<h1>Credits<a class="headerlink" href="#credits" title="Permalink to this headline">¶</a></h1>
-<section id="development-lead">
-<h2>Development Lead<a class="headerlink" href="#development-lead" title="Permalink to this headline">¶</a></h2>
+             
+  <div class="section" id="credits">
+<h1>Credits<a class="headerlink" href="#credits" title="Permalink to this headline"></a></h1>
+<div class="section" id="development-lead">
+<h2>Development Lead<a class="headerlink" href="#development-lead" title="Permalink to this headline"></a></h2>
 <ul class="simple">
 <li><p>Guy Teichman &lt;<a class="reference external" href="mailto:guyteichman&#37;&#52;&#48;gmail&#46;com">guyteichman<span>&#64;</span>gmail<span>&#46;</span>com</a>&gt;</p></li>
 </ul>
-</section>
-<section id="contributors">
-<h2>Contributors<a class="headerlink" href="#contributors" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="contributors">
+<h2>Contributors<a class="headerlink" href="#contributors" title="Permalink to this headline"></a></h2>
 <ul class="simple">
 <li><p>Or Ganon</p></li>
 <li><p>Netta Dunsky</p></li>
 <li><p>Shachar Shani</p></li>
 </ul>
-</section>
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+</div>
+</div>
 
 
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-    <p>
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+    <p>&#169; Copyright 2021, Guy Teichman.</p>
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-    
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+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
+   
 
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diff --git a/docs/build/contributing.html b/docs/build/contributing.html
index 115b5f639..a0348f30a 100644
--- a/docs/build/contributing.html
+++ b/docs/build/contributing.html
@@ -1,78 +1,34 @@
-
-
 <!DOCTYPE html>
 <html class="writer-html5" lang="en" >
 <head>
   <meta charset="utf-8" />
-  <meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
-
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-  
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-  
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-  <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
-  <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
-  <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
-  <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
-
-  
-  
+  <title>Contributing &mdash; RNAlysis 2.0.1 documentation</title>
+      <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
+      <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
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+    <script src="_static/js/theme.js"></script>
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+<body class="wy-body-for-nav"> 
   <div class="wy-grid-for-nav">
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@@ -80,18 +36,7 @@
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   </form>
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-
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-        <div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
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               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="readme.html">What is <em>RNAlysis?</em></a></li>
@@ -124,80 +69,39 @@
 <li class="toctree-l1"><a class="reference internal" href="api_reference.html">API Reference</a></li>
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-<div role="navigation" aria-label="breadcrumbs navigation">
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+          <div role="navigation" aria-label="Page navigation">
   <ul class="wy-breadcrumbs">
-    
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-        
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 </div>
           <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
            <div itemprop="articleBody">
-            
-  <section id="contributing">
-<h1>Contributing<a class="headerlink" href="#contributing" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="contributing">
+<h1>Contributing<a class="headerlink" href="#contributing" title="Permalink to this headline"></a></h1>
 <p>Contributions are welcome, and they are greatly appreciated! Every little bit
 helps, and credit will always be given.</p>
 <p>You can contribute in many ways:</p>
-<section id="types-of-contributions">
-<h2>Types of Contributions<a class="headerlink" href="#types-of-contributions" title="Permalink to this headline">¶</a></h2>
-<section id="report-bugs">
-<h3>Report Bugs<a class="headerlink" href="#report-bugs" title="Permalink to this headline">¶</a></h3>
+<div class="section" id="types-of-contributions">
+<h2>Types of Contributions<a class="headerlink" href="#types-of-contributions" title="Permalink to this headline"></a></h2>
+<div class="section" id="report-bugs">
+<h3>Report Bugs<a class="headerlink" href="#report-bugs" title="Permalink to this headline"></a></h3>
 <p>Report bugs at <a class="reference external" href="https://github.com/GuyTeichman/rnalysis/issues">https://github.com/GuyTeichman/rnalysis/issues</a>.</p>
 <p>If you are reporting a bug, please include:</p>
 <ul class="simple">
@@ -205,25 +109,25 @@ <h3>Report Bugs<a class="headerlink" href="#report-bugs" title="Permalink to thi
 <li><p>Any details about your local setup that might be helpful in troubleshooting.</p></li>
 <li><p>Detailed steps to reproduce the bug.</p></li>
 </ul>
-</section>
-<section id="fix-bugs">
-<h3>Fix Bugs<a class="headerlink" href="#fix-bugs" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="fix-bugs">
+<h3>Fix Bugs<a class="headerlink" href="#fix-bugs" title="Permalink to this headline"></a></h3>
 <p>Look through the GitHub issues for bugs. Anything tagged with “bug” and “help
 wanted” is open to whoever wants to implement it.</p>
-</section>
-<section id="implement-features">
-<h3>Implement Features<a class="headerlink" href="#implement-features" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="implement-features">
+<h3>Implement Features<a class="headerlink" href="#implement-features" title="Permalink to this headline"></a></h3>
 <p>Look through the GitHub issues for features. Anything tagged with “enhancement”
 and “help wanted” is open to whoever wants to implement it.</p>
-</section>
-<section id="write-documentation">
-<h3>Write Documentation<a class="headerlink" href="#write-documentation" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="write-documentation">
+<h3>Write Documentation<a class="headerlink" href="#write-documentation" title="Permalink to this headline"></a></h3>
 <p>RNAlysis could always use more documentation, whether as part of the
 official RNAlysis docs, in docstrings, or even on the web in blog posts,
 articles, and such.</p>
-</section>
-<section id="submit-feedback">
-<h3>Submit Feedback<a class="headerlink" href="#submit-feedback" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="submit-feedback">
+<h3>Submit Feedback<a class="headerlink" href="#submit-feedback" title="Permalink to this headline"></a></h3>
 <p>The best way to send feedback is to file an issue at <a class="reference external" href="https://github.com/GuyTeichman/rnalysis/issues">https://github.com/GuyTeichman/rnalysis/issues</a>.</p>
 <p>If you are proposing a feature:</p>
 <ul class="simple">
@@ -232,10 +136,10 @@ <h3>Submit Feedback<a class="headerlink" href="#submit-feedback" title="Permalin
 <li><p>Remember that this is a volunteer-driven project, and that contributions
 are welcome :)</p></li>
 </ul>
-</section>
-</section>
-<section id="get-started">
-<h2>Get Started!<a class="headerlink" href="#get-started" title="Permalink to this headline">¶</a></h2>
+</div>
+</div>
+<div class="section" id="get-started">
+<h2>Get Started!<a class="headerlink" href="#get-started" title="Permalink to this headline"></a></h2>
 <p>Ready to contribute? Here’s how to set up <cite>rnalysis</cite> for local development.</p>
 <ol class="arabic">
 <li><p>Fork the <cite>rnalysis</cite> repo on GitHub.</p></li>
@@ -275,9 +179,9 @@ <h2>Get Started!<a class="headerlink" href="#get-started" title="Permalink to th
 </li>
 <li><p>Submit a pull request through the GitHub website.</p></li>
 </ol>
-</section>
-<section id="pull-request-guidelines">
-<h2>Pull Request Guidelines<a class="headerlink" href="#pull-request-guidelines" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="pull-request-guidelines">
+<h2>Pull Request Guidelines<a class="headerlink" href="#pull-request-guidelines" title="Permalink to this headline"></a></h2>
 <p>Before you submit a pull request, check that it meets these guidelines:</p>
 <ol class="arabic simple">
 <li><p>The pull request should include tests.</p></li>
@@ -288,16 +192,16 @@ <h2>Pull Request Guidelines<a class="headerlink" href="#pull-request-guidelines"
 <a class="reference external" href="https://travis-ci.org/GuyTeichman/rnalysis/pull_requests">https://travis-ci.org/GuyTeichman/rnalysis/pull_requests</a>
 and make sure that the tests pass for all supported Python versions.</p></li>
 </ol>
-</section>
-<section id="tips">
-<h2>Tips<a class="headerlink" href="#tips" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="tips">
+<h2>Tips<a class="headerlink" href="#tips" title="Permalink to this headline"></a></h2>
 <p>To run a subset of tests:</p>
 <div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>$ py.test tests.test_rnalysis
 </pre></div>
 </div>
-</section>
-<section id="deploying">
-<h2>Deploying<a class="headerlink" href="#deploying" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="deploying">
+<h2>Deploying<a class="headerlink" href="#deploying" title="Permalink to this headline"></a></h2>
 <p>A reminder for the maintainers on how to deploy.
 Make sure all your changes are committed (including an entry in HISTORY.rst).
 Then run:</p>
@@ -307,51 +211,35 @@ <h2>Deploying<a class="headerlink" href="#deploying" title="Permalink to this he
 </pre></div>
 </div>
 <p>Travis will then deploy to PyPI if tests pass.</p>
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diff --git a/docs/build/genindex.html b/docs/build/genindex.html
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               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
 <ul>
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@@ -123,69 +69,29 @@
 <li class="toctree-l1"><a class="reference internal" href="api_reference.html">API Reference</a></li>
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+             
 
 <h1 id="index">Index</h1>
 
@@ -512,6 +418,18 @@ <h2 id="I">I</h2>
 
 <h2 id="M">M</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="rnalysis.filtering.CountFilter.majority_vote_intersection.html#rnalysis.filtering.CountFilter.majority_vote_intersection">majority_vote_intersection() (rnalysis.filtering.CountFilter method)</a>
+
+      <ul>
+        <li><a href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html#rnalysis.filtering.DESeqFilter.majority_vote_intersection">(rnalysis.filtering.DESeqFilter method)</a>
+</li>
+        <li><a href="rnalysis.filtering.Filter.majority_vote_intersection.html#rnalysis.filtering.Filter.majority_vote_intersection">(rnalysis.filtering.Filter method)</a>
+</li>
+        <li><a href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html#rnalysis.filtering.FoldChangeFilter.majority_vote_intersection">(rnalysis.filtering.FoldChangeFilter method)</a>
+</li>
+      </ul></li>
+  </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
       <li>
     module
@@ -801,46 +719,30 @@ <h2 id="V">V</h2>
 
 
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diff --git a/docs/build/glossary.html b/docs/build/glossary.html
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-  <section id="glossary">
-<span id="id1"></span><h1>Glossary<a class="headerlink" href="#glossary" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="glossary">
+<span id="id1"></span><h1>Glossary<a class="headerlink" href="#glossary" title="Permalink to this headline"></a></h1>
 <dl class="glossary simple">
-<dt id="term-Attribute-Reference-Table">Attribute Reference Table<a class="headerlink" href="#term-Attribute-Reference-Table" title="Permalink to this term">¶</a></dt><dd><p>A <cite>csv</cite> table that contains user-defined information (‘attributes’, such as ‘genes expressed in intestine’, ‘epigenetic genes’ or ‘genes that have paralogs’)
+<dt id="term-Attribute-Reference-Table">Attribute Reference Table<a class="headerlink" href="#term-Attribute-Reference-Table" title="Permalink to this term"></a></dt><dd><p>A <cite>csv</cite> table that contains user-defined information (‘attributes’, such as ‘genes expressed in intestine’, ‘epigenetic genes’ or ‘genes that have paralogs’)
 abut genes/genomic features.
 Every row in the file is a gene/genomic feature, and every column is an attribute.
 You can define such table to be your default Attribute Reference Table using the function <cite>general.set_attr_ref_table_path()</cite>.
 The attributes in the table can be used both to filter your data with functions like <cite>Filter.filter_by_attribute’,
 and to perform enrichment analysis with various functions from the `enrichment</cite> module.</p>
 </dd>
-<dt id="term-Biotype-Reference-Table">Biotype Reference Table<a class="headerlink" href="#term-Biotype-Reference-Table" title="Permalink to this term">¶</a></dt><dd><p>A <cite>csv</cite> table that contains information about the biotype (protein coding, pseudogene, lncRNA, etc…) of genomic features.
+<dt id="term-Biotype-Reference-Table">Biotype Reference Table<a class="headerlink" href="#term-Biotype-Reference-Table" title="Permalink to this term"></a></dt><dd><p>A <cite>csv</cite> table that contains information about the biotype (protein coding, pseudogene, lncRNA, etc…) of genomic features.
 You can define such table to be your default Biotype Reference Table using the function <cite>general.set_biotype_ref_table_path()</cite>.
 Various functions in RNAlysis, such <cite>Filter.biotypes()</cite> and <cite>Filter.filter_biotype()</cite> will use the information in the Biotype Reference Table
 to filter data based on biotype, or display information about the biotype of the genomic features in your Filter objects.</p>
 </dd>
-<dt id="term-CountFilter">CountFilter<a class="headerlink" href="#term-CountFilter" title="Permalink to this term">¶</a></dt><dd><p>A <a class="reference internal" href="#term-Filter-object"><span class="xref std std-term">Filter object</span></a> that supports count matrices, where each row represents a gene or genomic feature,
+<dt id="term-CountFilter">CountFilter<a class="headerlink" href="#term-CountFilter" title="Permalink to this term"></a></dt><dd><p>A <a class="reference internal" href="#term-Filter-object"><span class="xref std std-term">Filter object</span></a> that supports count matrices, where each row represents a gene or genomic feature,
 and every column represents a condition or replicate.</p>
 </dd>
-<dt id="term-DESeqFilter">DESeqFilter<a class="headerlink" href="#term-DESeqFilter" title="Permalink to this term">¶</a></dt><dd><p>A <a class="reference internal" href="#term-Filter-object"><span class="xref std std-term">Filter object</span></a> that supports differential expression data, formatted like the output files of DESeq2.
+<dt id="term-DESeqFilter">DESeqFilter<a class="headerlink" href="#term-DESeqFilter" title="Permalink to this term"></a></dt><dd><p>A <a class="reference internal" href="#term-Filter-object"><span class="xref std std-term">Filter object</span></a> that supports differential expression data, formatted like the output files of DESeq2.
 See the user guide for more details.</p>
 </dd>
-<dt id="term-FeatureSet">FeatureSet<a class="headerlink" href="#term-FeatureSet" title="Permalink to this term">¶</a></dt><dd><p>A container for a set of gene/feature IDs. A FeatureSet can optionally be named.
+<dt id="term-FeatureSet">FeatureSet<a class="headerlink" href="#term-FeatureSet" title="Permalink to this term"></a></dt><dd><p>A container for a set of gene/feature IDs. A FeatureSet can optionally be named.
 Using the Enrichmemt module, you can run various enrichment analyses on FeatureSet objects.</p>
 </dd>
-<dt id="term-Filter">Filter<a class="headerlink" href="#term-Filter" title="Permalink to this term">¶</a></dt><dd><p>The most basic type of <a class="reference internal" href="#term-Filter-object"><span class="xref std std-term">Filter object</span></a>.
+<dt id="term-Filter">Filter<a class="headerlink" href="#term-Filter" title="Permalink to this term"></a></dt><dd><p>The most basic type of <a class="reference internal" href="#term-Filter-object"><span class="xref std std-term">Filter object</span></a>.
 Can support any form of tabular data, and contains only the basic filtering functions.</p>
 </dd>
-<dt id="term-Filter-object">Filter object<a class="headerlink" href="#term-Filter-object" title="Permalink to this term">¶</a></dt><dt id="term-Filter-objects">Filter objects<a class="headerlink" href="#term-Filter-objects" title="Permalink to this term">¶</a></dt><dd><p>An object that stores your tabular data and its filename.
+<dt id="term-Filter-object">Filter object<a class="headerlink" href="#term-Filter-object" title="Permalink to this term"></a></dt><dt id="term-Filter-objects">Filter objects<a class="headerlink" href="#term-Filter-objects" title="Permalink to this term"></a></dt><dd><p>An object that stores your tabular data and its filename.
 You can apply filtering/normalizing functions to your data using the Filter object.
 Each type of Filter object supports different data structures and offers different utilities.
 For more details, see <a class="reference internal" href="#term-Filter"><span class="xref std std-term">Filter</span></a>, :term:’CountFilter’, :term:<a href="#id2"><span class="problematic" id="id3">`</span></a>DESeqFilter’ and :term:<a href="#id4"><span class="problematic" id="id5">`</span></a>FoldChangeFilter’.</p>
 </dd>
-<dt id="term-FoldChangeFilter">FoldChangeFilter<a class="headerlink" href="#term-FoldChangeFilter" title="Permalink to this term">¶</a></dt><dd><p>A <a class="reference internal" href="#term-Filter-object"><span class="xref std std-term">Filter object</span></a> that supports fold change values, where each row represents a gene or genomic feature,
+<dt id="term-FoldChangeFilter">FoldChangeFilter<a class="headerlink" href="#term-FoldChangeFilter" title="Permalink to this term"></a></dt><dd><p>A <a class="reference internal" href="#term-Filter-object"><span class="xref std std-term">Filter object</span></a> that supports fold change values, where each row represents a gene or genomic feature,
 and the <strong>only</strong> other column contains fold-change values between two conditions.
 Can be loaded from a <cite>csv</cite> file, or generated from a <a class="reference internal" href="#term-CountFilter"><span class="xref std std-term">CountFilter</span></a>.</p>
 </dd>
-<dt id="term-Pipeline">Pipeline<a class="headerlink" href="#term-Pipeline" title="Permalink to this term">¶</a></dt><dd><p>An object that stores a series of functions and their corresponding arguments.
+<dt id="term-Pipeline">Pipeline<a class="headerlink" href="#term-Pipeline" title="Permalink to this term"></a></dt><dd><p>An object that stores a series of functions and their corresponding arguments.
 You can then use the Pipeline object to apply this series of functions, with the same order and same arguments, to any number of <a class="reference internal" href="#term-Filter-objects"><span class="xref std std-term">Filter objects</span></a>.
 Pipelines can contain filtering functions, normalization functions, splitting functions and visualization functions.</p>
 </dd>
-<dt id="term-RankedSet">RankedSet<a class="headerlink" href="#term-RankedSet" title="Permalink to this term">¶</a></dt><dd><p>A subtype of <a class="reference internal" href="#term-FeatureSet"><span class="xref std std-term">FeatureSet</span></a> that, instead of storing an unsorted set of gene/feature IDs,
+<dt id="term-RankedSet">RankedSet<a class="headerlink" href="#term-RankedSet" title="Permalink to this term"></a></dt><dd><p>A subtype of <a class="reference internal" href="#term-FeatureSet"><span class="xref std std-term">FeatureSet</span></a> that, instead of storing an unsorted set of gene/feature IDs,
 also stores their order. You can run enrichment analyses on RankedSet objects as you would on a FeatureSet object.
 However, you can also perform single-list enrichment (enrichment analysis without a background set, based on the ranking/order of the gene IDs)
 on RankedSet objects.</p>
 </dd>
 </dl>
-</section>
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-    <p>
-        &#169; Copyright 2021, Guy Teichman.
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+    <p>&#169; Copyright 2021, Guy Teichman.</p>
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+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
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diff --git a/docs/build/history.html b/docs/build/history.html
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@@ -1,80 +1,36 @@
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 <html class="writer-html5" lang="en" >
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@@ -113,31 +58,37 @@
 <p class="caption" role="heading"><span class="caption-text">Change history:</span></p>
 <ul class="current">
 <li class="toctree-l1 current"><a class="current reference internal" href="#">History</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="#id1">2.0.0 (2021-12-05)</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#id1">2.0.1 (2021-12-05)</a><ul>
 <li class="toctree-l3"><a class="reference internal" href="#added">Added</a></li>
 <li class="toctree-l3"><a class="reference internal" href="#changed">Changed</a></li>
 <li class="toctree-l3"><a class="reference internal" href="#fixed">Fixed</a></li>
 </ul>
 </li>
-<li class="toctree-l2"><a class="reference internal" href="#id2">1.3.5 (2020-05-27)</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#id2">2.0.0 (2021-12-05)</a><ul>
 <li class="toctree-l3"><a class="reference internal" href="#id3">Added</a></li>
 <li class="toctree-l3"><a class="reference internal" href="#id4">Changed</a></li>
 <li class="toctree-l3"><a class="reference internal" href="#id5">Fixed</a></li>
 </ul>
 </li>
-<li class="toctree-l2"><a class="reference internal" href="#id6">1.3.4 (2020-04-07)</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="#id7">Changed</a></li>
-<li class="toctree-l3"><a class="reference internal" href="#id8">Fixed</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#id6">1.3.5 (2020-05-27)</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#id7">Added</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#id8">Changed</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#id9">Fixed</a></li>
 </ul>
 </li>
-<li class="toctree-l2"><a class="reference internal" href="#id9">1.3.3 (2020-03-28)</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="#id10">Added</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#id10">1.3.4 (2020-04-07)</a><ul>
 <li class="toctree-l3"><a class="reference internal" href="#id11">Changed</a></li>
 <li class="toctree-l3"><a class="reference internal" href="#id12">Fixed</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="#id13">1.3.3 (2020-03-28)</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#id14">Added</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#id15">Changed</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#id16">Fixed</a></li>
 <li class="toctree-l3"><a class="reference internal" href="#removed">Removed</a></li>
 </ul>
 </li>
-<li class="toctree-l2"><a class="reference internal" href="#id13">1.3.2 (2019-12-11)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#id17">1.3.2 (2019-12-11)</a></li>
 </ul>
 </li>
 </ul>
@@ -153,75 +104,59 @@
 <li class="toctree-l1"><a class="reference internal" href="api_reference.html">API Reference</a></li>
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           <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
            <div itemprop="articleBody">
-            
-  <section id="history">
-<h1>History<a class="headerlink" href="#history" title="Permalink to this headline">¶</a></h1>
-<section id="id1">
-<h2>2.0.0 (2021-12-05)<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h2>
+             
+  <div class="section" id="history">
+<h1>History<a class="headerlink" href="#history" title="Permalink to this headline"></a></h1>
+<div class="section" id="id1">
+<h2>2.0.1 (2021-12-05)<a class="headerlink" href="#id1" title="Permalink to this headline"></a></h2>
+<ul class="simple">
+<li><p>This version introduces small bug fixes, as well as a new function in the Filtering module.</p></li>
+</ul>
+<div class="section" id="added">
+<h3>Added<a class="headerlink" href="#added" title="Permalink to this headline"></a></h3>
+<ul class="simple">
+<li><p>Added Filter.majority_vote_intersection(), which returns a set/string of the features that appear in at least (majority_threhold * 100)% of the given Filter objects/sets.</p></li>
+</ul>
+</div>
+<div class="section" id="changed">
+<h3>Changed<a class="headerlink" href="#changed" title="Permalink to this headline"></a></h3>
+<ul class="simple">
+<li><p>When mapping/inferring taxon IDs during GO enrichment analysis, organisms will now be prioritized based on their taxon ID values (numerically lower IDs will be considered to be more relevant).</p></li>
+</ul>
+</div>
+<div class="section" id="fixed">
+<h3>Fixed<a class="headerlink" href="#fixed" title="Permalink to this headline"></a></h3>
+<ul class="simple">
+<li><p>Fixed bug that occured when mapping/inferring taxon IDs during GO enrichment analysis, where integer taxon IDs would be matched by name similarity before trying an exact ID match, leading to spurious matches.</p></li>
+<li><p>Fixed bug that occursed when plotting clustering results with style=’all’ on Python 3.8.</p></li>
+</ul>
+</div>
+</div>
+<div class="section" id="id2">
+<h2>2.0.0 (2021-12-05)<a class="headerlink" href="#id2" title="Permalink to this headline"></a></h2>
 <ul class="simple">
 <li><p>This version introduces new method to cluster your read count matrices, including K-Means/Medoids clustering, Hierarchical clustering, and HDBSCAN.</p></li>
 <li><p>This version introduces many new ways to perform enrichment analysis and to visualize your results, including highly customizable GO Enrichment, enrichment based on ranked lists of genes, and enrichment for non-categorical attributes.</p></li>
@@ -229,8 +164,8 @@ <h2>2.0.0 (2021-12-05)<a class="headerlink" href="#id1" title="Permalink to this
 <li><p>This version improves the performance of many functions in RNAlysis, and in particular the performance of randomization tests.</p></li>
 <li><p>This version includes changes to names and signatures of some functions in the module, as elaborated below.</p></li>
 </ul>
-<section id="added">
-<h3>Added<a class="headerlink" href="#added" title="Permalink to this headline">¶</a></h3>
+<div class="section" id="id3">
+<h3>Added<a class="headerlink" href="#id3" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Added class Pipeline to filtering module, which applies a series of filter functions to specified Filter objects.</p></li>
 <li><p>Added CountFilter.split_kmeans(), CountFilter.split_kmedoids(), CountFilter.split_hierarchical() and CountFilter.split_hdbscan(), which split your read count matrices into clusters with similar expression patterns.</p></li>
@@ -241,9 +176,9 @@ <h3>Added<a class="headerlink" href="#added" title="Permalink to this headline">
 <li><p>Added more visualization functions, such CountFilter.enhanced_box_plot().</p></li>
 <li><p>Added FeatureSet.change_set_name(), to give a new ‘set_name’ to a FeatureSet object.</p></li>
 </ul>
-</section>
-<section id="changed">
-<h3>Changed<a class="headerlink" href="#changed" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="id4">
+<h3>Changed<a class="headerlink" href="#id4" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>FeatureSet.enrich_randomization_parallel() was deprecated. Instead, you can compute your enrichment analysis with parallel computing by calling FeatureSet.enrich_randomization() with the argument ‘parallel_processing=True’. Moreover, parallel session will now start automatically if one was not already active.</p></li>
 <li><p>Improved running time of enrich_randomization() about six-fold.</p></li>
@@ -259,9 +194,9 @@ <h3>Changed<a class="headerlink" href="#changed" title="Permalink to this headli
 <li><p>Filter.biotypes() now accepts the boolean parameter ‘long_format’ instead of the str parameter ‘format’.</p></li>
 <li><p>Filter.biotypes() and FeatureSet.biotypes() now count features which do not appear in the Biotype Reference Table as ‘_missing_from_biotype_reference’ instead of ‘not_in_biotype_reference’.</p></li>
 </ul>
-</section>
-<section id="fixed">
-<h3>Fixed<a class="headerlink" href="#fixed" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="id5">
+<h3>Fixed<a class="headerlink" href="#id5" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Updated type-hinting of specific functions.</p></li>
 <li><p>Filter.biotypes() and FeatureSet.biotypes() now support Biotype Reference Tables with different column names.</p></li>
@@ -270,22 +205,22 @@ <h3>Fixed<a class="headerlink" href="#fixed" title="Permalink to this headline">
 <li><p>Fixed bug in enrichment.FeatureSet, where creating a FeatureSet from input string would result in an empty set.</p></li>
 <li><p>Various minor bug fixes.</p></li>
 </ul>
-</section>
-</section>
-<section id="id2">
-<h2>1.3.5 (2020-05-27)<a class="headerlink" href="#id2" title="Permalink to this headline">¶</a></h2>
+</div>
+</div>
+<div class="section" id="id6">
+<h2>1.3.5 (2020-05-27)<a class="headerlink" href="#id6" title="Permalink to this headline"></a></h2>
 <ul class="simple">
 <li><p>This version introduces minor bug fixes and a few more visualization options.</p></li>
 </ul>
-<section id="id3">
-<h3>Added<a class="headerlink" href="#id3" title="Permalink to this headline">¶</a></h3>
+<div class="section" id="id7">
+<h3>Added<a class="headerlink" href="#id7" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Added Filter.filter_missing_values(), which can remove rows with NaN values in some (or all) columns.</p></li>
 <li><p>Added the visualization function CountFilter.box_plot().</p></li>
 </ul>
-</section>
-<section id="id4">
-<h3>Changed<a class="headerlink" href="#id4" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="id8">
+<h3>Changed<a class="headerlink" href="#id8" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Updated docstrings and printouts of several functions.</p></li>
 <li><p>Slightly improved speed and performance across the board.</p></li>
@@ -293,9 +228,9 @@ <h3>Changed<a class="headerlink" href="#id4" title="Permalink to this headline">
 <li><p>Enrichment randomization functions in the enrichment module now accept a ‘random_seed’ argument, to be able to generate consistent results over multiple sessions.</p></li>
 <li><p>Enrichment randomization functions can now return the matplotlib Figure object, in addition to the results table.</p></li>
 </ul>
-</section>
-<section id="id5">
-<h3>Fixed<a class="headerlink" href="#id5" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="id9">
+<h3>Fixed<a class="headerlink" href="#id9" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Fixed DepracationWarning on parsing functions from the general module.</p></li>
 <li><p>Fixed bug where saving csv files on Linux systems would save the files under the wrong directory.</p></li>
@@ -303,33 +238,33 @@ <h3>Fixed<a class="headerlink" href="#id5" title="Permalink to this headline">¶
 <li><p>Fixed a bug where enrichment.upsetplot() and enrichment.venn_diagram() would sometimes modify the user dict input ‘objs’.</p></li>
 <li><p>Fixed a bug in CountFilter.pairplot where log2 would be calculated without a pseudocount added, leading to division by 0.</p></li>
 </ul>
-</section>
-</section>
-<section id="id6">
-<h2>1.3.4 (2020-04-07)<a class="headerlink" href="#id6" title="Permalink to this headline">¶</a></h2>
+</div>
+</div>
+<div class="section" id="id10">
+<h2>1.3.4 (2020-04-07)<a class="headerlink" href="#id10" title="Permalink to this headline"></a></h2>
 <ul class="simple">
 <li><p>This version fixed a bug that prevented installation of the package.</p></li>
 </ul>
-<section id="id7">
-<h3>Changed<a class="headerlink" href="#id7" title="Permalink to this headline">¶</a></h3>
+<div class="section" id="id11">
+<h3>Changed<a class="headerlink" href="#id11" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Updated docstrings and printouts of several functions</p></li>
 </ul>
-</section>
-<section id="id8">
-<h3>Fixed<a class="headerlink" href="#id8" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="id12">
+<h3>Fixed<a class="headerlink" href="#id12" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Fixed a bug with installation of the previous version</p></li>
 </ul>
-</section>
-</section>
-<section id="id9">
-<h2>1.3.3 (2020-03-28)<a class="headerlink" href="#id9" title="Permalink to this headline">¶</a></h2>
+</div>
+</div>
+<div class="section" id="id13">
+<h2>1.3.3 (2020-03-28)<a class="headerlink" href="#id13" title="Permalink to this headline"></a></h2>
 <ul class="simple">
 <li><p>First stable release on PyPI.</p></li>
 </ul>
-<section id="id10">
-<h3>Added<a class="headerlink" href="#id10" title="Permalink to this headline">¶</a></h3>
+<div class="section" id="id14">
+<h3>Added<a class="headerlink" href="#id14" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Added Filter.sort(), and upgraded the functionality of Filter.filter_top_n().</p></li>
 <li><p>Added UpSet plots and Venn diagrams to enrichment module.</p></li>
@@ -340,9 +275,9 @@ <h3>Added<a class="headerlink" href="#id10" title="Permalink to this headline">
 <li><p>Filter.biotypes() can now give a long-form report with descriptive statistics of all columns, grouped by biotype.</p></li>
 <li><p>Added code examples to the user guide and to the docstrings of most functions.</p></li>
 </ul>
-</section>
-<section id="id11">
-<h3>Changed<a class="headerlink" href="#id11" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="id15">
+<h3>Changed<a class="headerlink" href="#id15" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Changed argument order and default values in filtering.CountFilter.from_folder().</p></li>
 <li><p>Changed default title in scatter_sample_vs_sample().</p></li>
@@ -359,74 +294,57 @@ <h3>Changed<a class="headerlink" href="#id11" title="Permalink to this headline"
 <li><p>Renamed ‘Filter.norm_reads_to_rpm()’ to ‘Filter.normalize_to_rpm()’.</p></li>
 <li><p>Made some functions in the general module hidden.</p></li>
 </ul>
-</section>
-<section id="id12">
-<h3>Fixed<a class="headerlink" href="#id12" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="id16">
+<h3>Fixed<a class="headerlink" href="#id16" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Various bug fixes</p></li>
 </ul>
-</section>
-<section id="removed">
-<h3>Removed<a class="headerlink" href="#removed" title="Permalink to this headline">¶</a></h3>
+</div>
+<div class="section" id="removed">
+<h3>Removed<a class="headerlink" href="#removed" title="Permalink to this headline"></a></h3>
 <ul class="simple">
 <li><p>Removed the ‘feature_name_to_wbgene’ module from RNAlysis.</p></li>
 </ul>
-</section>
-</section>
-<section id="id13">
-<h2>1.3.2 (2019-12-11)<a class="headerlink" href="#id13" title="Permalink to this headline">¶</a></h2>
+</div>
+</div>
+<div class="section" id="id17">
+<h2>1.3.2 (2019-12-11)<a class="headerlink" href="#id17" title="Permalink to this headline"></a></h2>
 <ul class="simple">
 <li><p>First beta release on PyPI.</p></li>
 </ul>
-</section>
-</section>
+</div>
+</div>
 
 
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+    <p>&#169; Copyright 2021, Guy Teichman.</p>
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+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
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+  <title>RNAlysis 2.0.1 documentation &mdash; RNAlysis 2.0.1 documentation</title>
+      <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
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     <link rel="index" title="Index" href="genindex.html" />
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     <link rel="next" title="What is RNAlysis?" href="readme.html" /> 
 </head>
 
-<body class="wy-body-for-nav">
-
-   
+<body class="wy-body-for-nav"> 
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 <div role="search">
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               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="readme.html">What is <em>RNAlysis?</em></a></li>
@@ -125,73 +70,32 @@
 <li class="toctree-l1"><a class="reference internal" href="api_reference.html">API Reference</a></li>
 </ul>
 
-            
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   <ul class="wy-breadcrumbs">
-    
       <li><a href="#" class="icon icon-home"></a> &raquo;</li>
-        
-      <li>RNAlysis 2.0.0 documentation</li>
-    
-    
+      <li>RNAlysis 2.0.1 documentation</li>
       <li class="wy-breadcrumbs-aside">
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-          
             <a href="_sources/index.rst.txt" rel="nofollow"> View page source</a>
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-
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 </div>
           <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
            <div itemprop="articleBody">
-            
-  <section id="rnalysis-release-documentation">
-<h1>RNAlysis 2.0.0 documentation<a class="headerlink" href="#rnalysis-release-documentation" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-release-documentation">
+<h1>RNAlysis 2.0.1 documentation<a class="headerlink" href="#rnalysis-release-documentation" title="Permalink to this headline"></a></h1>
 <a class="reference external image-reference" href="https://guyteichman.github.io/RNAlysis"><img alt="logo" src="https://raw.githubusercontent.com/GuyTeichman/RNAlysis/master/docs/source/logo.png" style="width: 400px;" /></a>
 <p><strong>Useful links:</strong> <a class="reference external" href="https://guyteichman.github.io/RNAlysis">Documentation</a> |
 <a class="reference external" href="https://github.com/GuyTeichman/RNAlysis">Source code</a> |
@@ -239,18 +143,19 @@ <h1>RNAlysis 2.0.0 documentation<a class="headerlink" href="#rnalysis-release-do
 <p class="caption" role="heading"><span class="caption-text">Change history:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="history.html">History</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="history.html#id1">2.0.0 (2021-12-05)</a></li>
-<li class="toctree-l2"><a class="reference internal" href="history.html#id2">1.3.5 (2020-05-27)</a></li>
-<li class="toctree-l2"><a class="reference internal" href="history.html#id6">1.3.4 (2020-04-07)</a></li>
-<li class="toctree-l2"><a class="reference internal" href="history.html#id9">1.3.3 (2020-03-28)</a></li>
-<li class="toctree-l2"><a class="reference internal" href="history.html#id13">1.3.2 (2019-12-11)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="history.html#id1">2.0.1 (2021-12-05)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="history.html#id2">2.0.0 (2021-12-05)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="history.html#id6">1.3.5 (2020-05-27)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="history.html#id10">1.3.4 (2020-04-07)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="history.html#id13">1.3.3 (2020-03-28)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="history.html#id17">1.3.2 (2019-12-11)</a></li>
 </ul>
 </li>
 </ul>
 </div>
-<section id="modules">
-<h2>Modules:<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
-<table class="longtable docutils align-default">
+<div class="section" id="modules">
+<h2>Modules:<a class="headerlink" href="#modules" title="Permalink to this headline"></a></h2>
+<table class="autosummary longtable docutils align-default">
 <colgroup>
 <col style="width: 10%" />
 <col style="width: 90%" />
@@ -274,54 +179,37 @@ <h2>Modules:<a class="headerlink" href="#modules" title="Permalink to this headl
 <li class="toctree-l1"><a class="reference internal" href="api_reference.html">API Reference</a></li>
 </ul>
 </div>
-</section>
-</section>
+</div>
+</div>
 
 
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-          <footer>
-    <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
+          <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
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     </div>
 
   <hr/>
 
   <div role="contentinfo">
-    <p>
-        &#169; Copyright 2021, Guy Teichman.
-
-    </p>
+    <p>&#169; Copyright 2021, Guy Teichman.</p>
   </div>
-    
-    
-    
-    Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
-    
+
+  Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
     <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
-    
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+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
+   
 
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diff --git a/docs/build/installation.html b/docs/build/installation.html
index ddb7d03ae..b4ae3c58e 100644
--- a/docs/build/installation.html
+++ b/docs/build/installation.html
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-  <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
-
-  
-  
+  <title>Installation &mdash; RNAlysis 2.0.1 documentation</title>
+      <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
+      <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
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+    <script src="_static/js/theme.js"></script>
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 </head>
 
-<body class="wy-body-for-nav">
-
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+<body class="wy-body-for-nav"> 
   <div class="wy-grid-for-nav">
-    
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     <input type="text" name="q" placeholder="Search docs" />
@@ -82,18 +38,7 @@
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   </form>
 </div>
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-        <div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
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-              
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+        </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="readme.html">What is <em>RNAlysis?</em></a></li>
@@ -130,75 +75,34 @@
 <li class="toctree-l1"><a class="reference internal" href="api_reference.html">API Reference</a></li>
 </ul>
 
-            
-          
         </div>
-        
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     </nav>
 
-    <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap">
-
-      
-      <nav class="wy-nav-top" aria-label="top navigation">
-        
+    <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu" >
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-        
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-        
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-
-
-
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-<div role="navigation" aria-label="breadcrumbs navigation">
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+          <div role="navigation" aria-label="Page navigation">
   <ul class="wy-breadcrumbs">
-    
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-        
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-
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   <hr/>
 </div>
           <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
            <div itemprop="articleBody">
-            
-  <section id="installation">
-<h1>Installation<a class="headerlink" href="#installation" title="Permalink to this headline">¶</a></h1>
-<section id="stable-release">
-<h2>Stable release<a class="headerlink" href="#stable-release" title="Permalink to this headline">¶</a></h2>
+             
+  <div class="section" id="installation">
+<h1>Installation<a class="headerlink" href="#installation" title="Permalink to this headline"></a></h1>
+<div class="section" id="stable-release">
+<h2>Stable release<a class="headerlink" href="#stable-release" title="Permalink to this headline"></a></h2>
 <p>current version: <a class="reference external" href="https://pypi.python.org/pypi/rnalysis"><img alt="pipimage" src="https://img.shields.io/pypi/v/rnalysis.svg" /></a></p>
 <p>To install RNAlysis, run this command in your terminal:</p>
 <div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>pip install rnalysis
@@ -207,9 +111,9 @@ <h2>Stable release<a class="headerlink" href="#stable-release" title="Permalink
 <p>This is the preferred method to install sRNA analysis pipeline, as it will always install the most recent stable release.</p>
 <p>If you don’t have <a class="reference external" href="https://pip.pypa.io">pip</a> installed, this <a class="reference external" href="http://docs.python-guide.org/en/latest/starting/installation/">Python installation guide</a> can guide
 you through the process.</p>
-</section>
-<section id="from-sources">
-<h2>From sources<a class="headerlink" href="#from-sources" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="from-sources">
+<h2>From sources<a class="headerlink" href="#from-sources" title="Permalink to this headline"></a></h2>
 <p>The source code for RNAlysis can be downloaded from the <a class="reference external" href="https://github.com/GuyTeichman/RNAlysis">Github repository</a>.</p>
 <p>You can either clone the public repository:</p>
 <div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git clone git://github.com/GuyTeichman/rnalysis
@@ -223,55 +127,38 @@ <h2>From sources<a class="headerlink" href="#from-sources" title="Permalink to t
 <div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>python setup.py install
 </pre></div>
 </div>
-</section>
-</section>
+</div>
+</div>
 
 
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+          <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
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+        <a href="user_guide.html" class="btn btn-neutral float-right" title="User guide" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
     </div>
 
   <hr/>
 
   <div role="contentinfo">
-    <p>
-        &#169; Copyright 2021, Guy Teichman.
-
-    </p>
+    <p>&#169; Copyright 2021, Guy Teichman.</p>
   </div>
-    
-    
-    
-    Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
-    
+
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     <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
-    
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+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
+   
 
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 <p><strong>Useful links:</strong> <a class="reference external" href="https://guyteichman.github.io/RNAlysis">Documentation</a> |
 <a class="reference external" href="https://github.com/GuyTeichman/RNAlysis">Source code</a> |
-<a class="reference external" href="https://github.com/GuyTeichman/RNAlysis/issues">Bug reports</a> | <a class="reference external" href="https://pypi.python.org/pypi/rnalysis"><img alt="PyPI version" src="https://img.shields.io/pypi/v/rnalysis.svg" /></a> | <a class="reference external" href="https://pypi.python.org/pypi/rnalysis"><img alt="Python versions supported" src="https://img.shields.io/pypi/pyversions/RNAlysis.svg" /></a> | <a class="reference external" href="https://github.com/GuyTeichman/RNAlysis/actions/workflows/python-package.yml"><img alt="Build status" src="https://github.com/guyteichman/RNAlysis/actions/workflows/python-package.yml/badge.svg" /></a> | <a class="reference external" href="https://coveralls.io/github/GuyTeichman/RNAlysis?branch=master"><img alt="Coverage" src="https://coveralls.io/repos/github/GuyTeichman/RNAlysis/badge.svg" /></a> | <a class="reference external" href="https://pepy.tech/project/rnalysis"><img alt="Downloads" src="https://pepy.tech/badge/rnalysis" /></a></p>
+<a class="reference external" href="https://github.com/GuyTeichman/RNAlysis/issues">Bug reports</a> | <a class="reference external" href="https://pypi.python.org/pypi/rnalysis"><img alt="PyPI version" src="https://img.shields.io/pypi/v/rnalysis.svg" /></a> | <a class="reference external" href="https://pypi.python.org/pypi/rnalysis"><img alt="Python versions supported" src="https://img.shields.io/pypi/pyversions/RNAlysis.svg" /></a> | <a class="reference external" href="https://github.com/GuyTeichman/RNAlysis/actions/workflows/python-package.yml"><img alt="Build status" src="https://github.com/guyteichman/RNAlysis/actions/workflows/python-package.yml/badge.svg" /></a> | <a class="reference external" href="https://coveralls.io/github/GuyTeichman/RNAlysis?branch=master"><img alt="Coverage" src="https://coveralls.io/repos/github/GuyTeichman/RNAlysis/badge.svg?branch=master" /></a> | <a class="reference external" href="https://pepy.tech/project/rnalysis"><img alt="Downloads" src="https://pepy.tech/badge/rnalysis" /></a></p>
 <hr class="docutils" />
-<section id="what-is-rnalysis">
-<h1>What is <em>RNAlysis?</em><a class="headerlink" href="#what-is-rnalysis" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="what-is-rnalysis">
+<h1>What is <em>RNAlysis?</em><a class="headerlink" href="#what-is-rnalysis" title="Permalink to this headline"></a></h1>
 <p><em>RNAlysis</em> is a Python-based modular analysis pipeline for RNA sequencing data.
 You can use it to normalize, filter and visualize your data, cluster genes based on their expression patterns,
 and perform enrichment analysis for both Gene Ontology terms and user-defined attributes.</p>
@@ -210,10 +114,10 @@ <h1>What is <em>RNAlysis?</em><a class="headerlink" href="#what-is-rnalysis" tit
 You can save or load your progress at any given point; the operations you performed on your data and their order
 will be reflected in saved file’s name.</p>
 <p>RNAlysis works with gene expression matrices and differential expression tables in general, and integrates in particular with Python’s <em>HTSeq-count</em> and R’s <em>DESeq2</em>.</p>
-</section>
+</div>
 <hr class="docutils" />
-<section id="what-can-i-do-with-rnalysis">
-<h1>What can I do with <em>RNAlysis</em>?<a class="headerlink" href="#what-can-i-do-with-rnalysis" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="what-can-i-do-with-rnalysis">
+<h1>What can I do with <em>RNAlysis</em>?<a class="headerlink" href="#what-can-i-do-with-rnalysis" title="Permalink to this headline"></a></h1>
 <ul class="simple">
 <li><p>Filter your gene expression matrices, differential expression tables, fold change data, and tabular data in general.</p></li>
 <li><p>Normalize your gene expression matrices</p></li>
@@ -223,19 +127,19 @@ <h1>What can I do with <em>RNAlysis</em>?<a class="headerlink" href="#what-can-i
 <li><p>Perform enrichment analysis with pre-determined Gene Ontology terms, or with used-defined attributes</p></li>
 <li><p>Perform enrichment analysis on a single ranked list, instead of a test set and a background set</p></li>
 </ul>
-</section>
+</div>
 <hr class="docutils" />
-<section id="how-do-i-install-it">
-<h1>How do I install it?<a class="headerlink" href="#how-do-i-install-it" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="how-do-i-install-it">
+<h1>How do I install it?<a class="headerlink" href="#how-do-i-install-it" title="Permalink to this headline"></a></h1>
 <p>You can install <em>RNAlysis</em> via PyPI.
 Use the following command in the python prompt:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">pip</span> <span class="n">install</span> <span class="n">RNAlysis</span>
 </pre></div>
 </div>
-</section>
+</div>
 <hr class="docutils" />
-<section id="dependencies">
-<h1>Dependencies<a class="headerlink" href="#dependencies" title="Permalink to this headline">¶</a></h1>
+<div class="section" id="dependencies">
+<h1>Dependencies<a class="headerlink" href="#dependencies" title="Permalink to this headline"></a></h1>
 <p>All of <em>RNAlysis</em>’s dependencies can be installed automatically via PyPI.</p>
 <ul class="simple">
 <li><p><a class="reference external" href="https://numpy.org/">numpy</a></p></li>
@@ -259,22 +163,22 @@ <h1>Dependencies<a class="headerlink" href="#dependencies" title="Permalink to t
 <li><p><a class="reference external" href="https://github.com/flo-compbio/xlmhg">xlmhg</a></p></li>
 <li><p><a class="reference external" href="https://github.com/GuyTeichman/pairwisedist/">pairwisedist</a></p></li>
 </ul>
-</section>
+</div>
 <hr class="docutils" />
-<section id="credits">
-<h1>Credits<a class="headerlink" href="#credits" title="Permalink to this headline">¶</a></h1>
-<section id="how-do-i-cite-rnalysis">
-<h2>How do I cite <em>RNAlysis</em>?<a class="headerlink" href="#how-do-i-cite-rnalysis" title="Permalink to this headline">¶</a></h2>
-<p>Teichman, G. (2021) RNAlysis: RNA Sequencing analysis pipeline (Python package version 2.0.0).</p>
-</section>
-<section id="development-lead">
-<h2>Development Lead<a class="headerlink" href="#development-lead" title="Permalink to this headline">¶</a></h2>
+<div class="section" id="credits">
+<h1>Credits<a class="headerlink" href="#credits" title="Permalink to this headline"></a></h1>
+<div class="section" id="how-do-i-cite-rnalysis">
+<h2>How do I cite <em>RNAlysis</em>?<a class="headerlink" href="#how-do-i-cite-rnalysis" title="Permalink to this headline"></a></h2>
+<p>Teichman, G. (2021) RNAlysis: RNA Sequencing analysis pipeline (Python package version 2.0.1).</p>
+</div>
+<div class="section" id="development-lead">
+<h2>Development Lead<a class="headerlink" href="#development-lead" title="Permalink to this headline"></a></h2>
 <ul class="simple">
 <li><p>Guy Teichman: <a class="reference external" href="mailto:guyteichman&#37;&#52;&#48;gmail&#46;com">guyteichman<span>&#64;</span>gmail<span>&#46;</span>com</a></p></li>
 </ul>
-</section>
-<section id="contributors">
-<h2>Contributors<a class="headerlink" href="#contributors" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="contributors">
+<h2>Contributors<a class="headerlink" href="#contributors" title="Permalink to this headline"></a></h2>
 <ul class="simple">
 <li><p>Or Ganon</p></li>
 <li><p>Netta Dunsky</p></li>
@@ -282,55 +186,38 @@ <h2>Contributors<a class="headerlink" href="#contributors" title="Permalink to t
 </ul>
 <hr class="docutils" />
 <p>This package was created with <a class="reference external" href="https://github.com/audreyr/cookiecutter">Cookiecutter</a> and the <a class="reference external" href="https://github.com/audreyr/cookiecutter-pypackage">audreyr/cookiecutter-pypackage</a> project template.</p>
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diff --git a/docs/build/rnalysis.enrichment.FeatureSet.biotypes.html b/docs/build/rnalysis.enrichment.FeatureSet.biotypes.html
index d16d3ea5c..86cc20072 100644
--- a/docs/build/rnalysis.enrichment.FeatureSet.biotypes.html
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+<h1>rnalysis.enrichment.FeatureSet.biotypes<a class="headerlink" href="#rnalysis-enrichment-featureset-biotypes" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.biotypes">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.biotypes" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.biotypes" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a DataFrame of the biotypes in the gene set and their count.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -242,54 +144,37 @@ <h1>rnalysis.enrichment.FeatureSet.biotypes<a class="headerlink" href="#rnalysis
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-<h1>rnalysis.enrichment.FeatureSet.change_set_name<a class="headerlink" href="#rnalysis-enrichment-featureset-change-set-name" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-change-set-name">
+<h1>rnalysis.enrichment.FeatureSet.change_set_name<a class="headerlink" href="#rnalysis-enrichment-featureset-change-set-name" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.change_set_name">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">change_set_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.change_set_name" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">change_set_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.change_set_name" title="Permalink to this definition"></a></dt>
 <dd><p>Change the ‘set_name’ of a FeatureSet to a new name.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -229,54 +131,37 @@ <h1>rnalysis.enrichment.FeatureSet.change_set_name<a class="headerlink" href="#r
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-<h1>rnalysis.enrichment.FeatureSet.difference<a class="headerlink" href="#rnalysis-enrichment-featureset-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-difference">
+<h1>rnalysis.enrichment.FeatureSet.difference<a class="headerlink" href="#rnalysis-enrichment-featureset-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.difference">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.difference" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates the set difference of the indices from multiple FeatureSet objects         (the indices that appear in the first FeatureSet object but NOT in the other objects).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -247,54 +149,37 @@ <h1>rnalysis.enrichment.FeatureSet.difference<a class="headerlink" href="#rnalys
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-<h1>rnalysis.enrichment.FeatureSet.enrich_hypergeometric<a class="headerlink" href="#rnalysis-enrichment-featureset-enrich-hypergeometric" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-enrich-hypergeometric">
+<h1>rnalysis.enrichment.FeatureSet.enrich_hypergeometric<a class="headerlink" href="#rnalysis-enrichment-featureset-enrich-hypergeometric" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.enrich_hypergeometric">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">enrich_hypergeometric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.enrich_hypergeometric" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">enrich_hypergeometric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.enrich_hypergeometric" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the FeatureSet for user-defined attributes against a background set         using the Hypergeometric Test. The attributes are drawn from an Attribute Reference Table.         The background set is determined by either the input variable ‘background_genes’,         or by the input variable ‘biotype’ and a Biotype Reference Table.         P-values are calculated using a hypergeometric test:         Given M genes in the background set, n genes in the test set,         with N genes from the background set belonging to a specific attribute (or ‘success’)         and X genes from the test set belonging to that attribute.         If we were to randomly draw n genes from the background set (without replacement),         what is the probability of drawing X or more (in case of enrichment)/X or less (in case of depletion)         genes belonging to the given attribute?         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment score = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -245,68 +147,47 @@ <h1>rnalysis.enrichment.FeatureSet.enrich_hypergeometric<a class="headerlink" hr
 <dd class="field-odd"><p>a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
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-<h1>rnalysis.enrichment.FeatureSet.enrich_randomization<a class="headerlink" href="#rnalysis-enrichment-featureset-enrich-randomization" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-enrich-randomization">
+<h1>rnalysis.enrichment.FeatureSet.enrich_randomization<a class="headerlink" href="#rnalysis-enrichment-featureset-enrich-randomization" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.enrich_randomization">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">enrich_randomization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.enrich_randomization" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">enrich_randomization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.enrich_randomization" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the FeatureSet for user-defined attributes against a background set         using a randomization test. The attributes are drawn from an Attribute Reference Table.         The background set is determined by either the input variable ‘background_genes’,         or by the input variable ‘biotype’ and a Biotype Reference Table. P-values are calculated using a         randomization test with the formula p = (successes + 1)/(repeats + 1).         This formula results in a positively-biased estimator of the real p-value         (a conservative estimate of p-value). When the number of reps approaches infinity,         the formula results in an unbiased estimator of the real p-value.         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -250,68 +152,47 @@ <h1>rnalysis.enrichment.FeatureSet.enrich_randomization<a class="headerlink" hre
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
+</div>
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-<h1>rnalysis.enrichment.FeatureSet.enrich_randomization_parallel<a class="headerlink" href="#rnalysis-enrichment-featureset-enrich-randomization-parallel" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-enrich-randomization-parallel">
+<h1>rnalysis.enrichment.FeatureSet.enrich_randomization_parallel<a class="headerlink" href="#rnalysis-enrichment-featureset-enrich-randomization-parallel" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.enrich_randomization_parallel">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">enrich_randomization_parallel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fdr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.enrich_randomization_parallel" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">enrich_randomization_parallel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fdr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.enrich_randomization_parallel" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the FeatureSet for user-defined attributes against a background set         using a randomization test running in parallel.         This function is depracated, and is replaced by enrich_randomization(parallel_processing=True).         It will be removed in future versions of RNAlysis.         The attributes are drawn from an Attribute Reference Table.         Parallel processing makes this function generally faster than FeatureSet.enrich_randomization.         Results should otherwise be the same between the two functions.         To use it you must first start a parallel session, using the function ‘general.start_parallel_session()’.         The background set is determined by either the input variable ‘background_genes’,         or by the input variable ‘biotype’ and a Biotype Reference Table. P-values are calculated using a         randomization test with the formula p = (successes + 1)/(repeats + 1).         This formula results in a positively-biased estimator of the real p-value         (a conservative estimate of p-value). When the number of reps approaches infinity,         the formula results in an unbiased estimator of the real p-value.         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -248,68 +150,47 @@ <h1>rnalysis.enrichment.FeatureSet.enrich_randomization_parallel<a class="header
 :type random_seed: The random seed used to initialize the pseudorandom generator for the randomization test.         By default it is picked at random, but you can set it to a particular integer to get consistents results         over multiple runs.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
+</div>
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-  <section id="rnalysis-enrichment-featureset-go-enrichment">
-<h1>rnalysis.enrichment.FeatureSet.go_enrichment<a class="headerlink" href="#rnalysis-enrichment-featureset-go-enrichment" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-go-enrichment">
+<h1>rnalysis.enrichment.FeatureSet.go_enrichment<a class="headerlink" href="#rnalysis-enrichment-featureset-go-enrichment" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.go_enrichment">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">go_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">organism</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gene_id_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'UniProtKB'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">statistical_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'fisher'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">propagate_annotations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'elim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aspects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'not'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_nonsignificant</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">randomization_reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.go_enrichment" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">go_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">organism</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gene_id_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'UniProtKB'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">statistical_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'fisher'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">propagate_annotations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'elim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aspects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'not'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_nonsignificant</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">randomization_reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.go_enrichment" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the FeatureSet for Gene Ontology (GO) terms against a background set         using the Hypergeometric Test. The GO terms and annotations are drawn via the GO Solr search engine GOlr,         using the search terms defined by the user.         The background set is determined by either the input variable ‘background_genes’,         or by the input variable ‘biotype’ and a Biotype Reference Table.         P-values are calculated using a hypergeometric test:         Given M genes in the background set, n genes in the test set,         with N genes from the background set belonging to a specific attribute (or ‘success’)         and X genes from the test set belonging to that attribute.         If we were to randomly draw n genes from the background set (without replacement),         what is the probability of drawing X or more (in case of enrichment)/X or less (in case of depletion)         genes belonging to the given attribute?         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment score = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -267,68 +169,47 @@ <h1>rnalysis.enrichment.FeatureSet.go_enrichment<a class="headerlink" href="#rna
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="plot_enrichment_results_go.png"><img alt="plot_enrichment_results_go.png" src="plot_enrichment_results_go.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_vertical.png"><img alt="plot_enrichment_results_go_vertical.png" src="plot_enrichment_results_go_vertical.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
-</section>
+</div>
 
 
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-  <section id="rnalysis-enrichment-featureset">
-<h1>rnalysis.enrichment.FeatureSet<a class="headerlink" href="#rnalysis-enrichment-featureset" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset">
+<h1>rnalysis.enrichment.FeatureSet<a class="headerlink" href="#rnalysis-enrichment-featureset" title="Permalink to this headline"></a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">FeatureSet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gene_set</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">FeatureSet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gene_set</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet" title="Permalink to this definition"></a></dt>
 <dd><p>Receives a filtered gene set and the set’s name (optional) and preforms various enrichment analyses on them.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gene_set</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.__init__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gene_set</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.__init__" title="Permalink to this definition"></a></dt>
 <dd><dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
@@ -245,7 +148,7 @@ <h1>rnalysis.enrichment.FeatureSet<a class="headerlink" href="#rnalysis-enrichme
 
 </dd></dl>
 
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
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@@ -289,54 +192,37 @@ <h1>rnalysis.enrichment.FeatureSet<a class="headerlink" href="#rnalysis-enrichme
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-<h1>rnalysis.enrichment.FeatureSet.intersection<a class="headerlink" href="#rnalysis-enrichment-featureset-intersection" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-intersection">
+<h1>rnalysis.enrichment.FeatureSet.intersection<a class="headerlink" href="#rnalysis-enrichment-featureset-intersection" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.intersection">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.intersection" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.intersection" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates the set intersection of the indices from multiple FeatureSet objects         (the indices that exist in ALL of the FeatureSet objects).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -247,54 +149,37 @@ <h1>rnalysis.enrichment.FeatureSet.intersection<a class="headerlink" href="#rnal
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-<h1>rnalysis.enrichment.FeatureSet.non_categorical_enrichment<a class="headerlink" href="#rnalysis-enrichment-featureset-non-categorical-enrichment" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-non-categorical-enrichment">
+<h1>rnalysis.enrichment.FeatureSet.non_categorical_enrichment<a class="headerlink" href="#rnalysis-enrichment-featureset-non-categorical-enrichment" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.non_categorical_enrichment">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">non_categorical_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parametric_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_log_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'overlap'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.non_categorical_enrichment" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">non_categorical_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parametric_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_log_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'overlap'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.non_categorical_enrichment" title="Permalink to this definition"></a></dt>
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+             
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-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">save_txt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.save_txt" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">save_txt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.save_txt" title="Permalink to this definition"></a></dt>
 <dd><p>Save the list of features in the FeatureSet object under the specified filename and path.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -229,54 +131,37 @@ <h1>rnalysis.enrichment.FeatureSet.save_txt<a class="headerlink" href="#rnalysis
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-<h1>rnalysis.enrichment.FeatureSet.symmetric_difference<a class="headerlink" href="#rnalysis-enrichment-featureset-symmetric-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-symmetric-difference">
+<h1>rnalysis.enrichment.FeatureSet.symmetric_difference<a class="headerlink" href="#rnalysis-enrichment-featureset-symmetric-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.symmetric_difference">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.symmetric_difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.symmetric_difference" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates the set symmetric difference of the indices from two FeatureSet objects         (the indices that appear in EXACTLY ONE of the FeatureSet objects, and not both/neither).         A-symmetric difference-B is equivalent to (A-difference-B)-union-(B-difference-A).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -246,54 +148,37 @@ <h1>rnalysis.enrichment.FeatureSet.symmetric_difference<a class="headerlink" hre
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-<h1>rnalysis.enrichment.FeatureSet.union<a class="headerlink" href="#rnalysis-enrichment-featureset-union" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-featureset-union">
+<h1>rnalysis.enrichment.FeatureSet.union<a class="headerlink" href="#rnalysis-enrichment-featureset-union" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.FeatureSet.union">
-<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.union" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FeatureSet.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.FeatureSet.union" title="Permalink to this definition"></a></dt>
 <dd><blockquote>
 <div><p>Calculates the set union of the indices from multiple FeatureSet objects         (the indices that exist in at least one of the FeatureSet objects).</p>
 </div></blockquote>
@@ -249,54 +151,37 @@ <h1>rnalysis.enrichment.FeatureSet.union<a class="headerlink" href="#rnalysis-en
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-<h1>rnalysis.enrichment.RankedSet.biotypes<a class="headerlink" href="#rnalysis-enrichment-rankedset-biotypes" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-biotypes">
+<h1>rnalysis.enrichment.RankedSet.biotypes<a class="headerlink" href="#rnalysis-enrichment-rankedset-biotypes" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.biotypes">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.biotypes" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.biotypes" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a DataFrame of the biotypes in the gene set and their count.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -244,54 +146,37 @@ <h1>rnalysis.enrichment.RankedSet.biotypes<a class="headerlink" href="#rnalysis-
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-<h1>rnalysis.enrichment.RankedSet.change_set_name<a class="headerlink" href="#rnalysis-enrichment-rankedset-change-set-name" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-change-set-name">
+<h1>rnalysis.enrichment.RankedSet.change_set_name<a class="headerlink" href="#rnalysis-enrichment-rankedset-change-set-name" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.change_set_name">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">change_set_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.change_set_name" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">change_set_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.change_set_name" title="Permalink to this definition"></a></dt>
 <dd><p>Change the ‘set_name’ of a FeatureSet to a new name.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -231,54 +133,37 @@ <h1>rnalysis.enrichment.RankedSet.change_set_name<a class="headerlink" href="#rn
 </dl>
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-<h1>rnalysis.enrichment.RankedSet.difference<a class="headerlink" href="#rnalysis-enrichment-rankedset-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-difference">
+<h1>rnalysis.enrichment.RankedSet.difference<a class="headerlink" href="#rnalysis-enrichment-rankedset-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.difference">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.difference" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates the set difference of the indices from multiple FeatureSet objects         (the indices that appear in the first FeatureSet object but NOT in the other objects).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -249,54 +151,37 @@ <h1>rnalysis.enrichment.RankedSet.difference<a class="headerlink" href="#rnalysi
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-<h1>rnalysis.enrichment.RankedSet.enrich_hypergeometric<a class="headerlink" href="#rnalysis-enrichment-rankedset-enrich-hypergeometric" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-enrich-hypergeometric">
+<h1>rnalysis.enrichment.RankedSet.enrich_hypergeometric<a class="headerlink" href="#rnalysis-enrichment-rankedset-enrich-hypergeometric" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.enrich_hypergeometric">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">enrich_hypergeometric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.enrich_hypergeometric" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">enrich_hypergeometric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.enrich_hypergeometric" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the FeatureSet for user-defined attributes against a background set         using the Hypergeometric Test. The attributes are drawn from an Attribute Reference Table.         The background set is determined by either the input variable ‘background_genes’,         or by the input variable ‘biotype’ and a Biotype Reference Table.         P-values are calculated using a hypergeometric test:         Given M genes in the background set, n genes in the test set,         with N genes from the background set belonging to a specific attribute (or ‘success’)         and X genes from the test set belonging to that attribute.         If we were to randomly draw n genes from the background set (without replacement),         what is the probability of drawing X or more (in case of enrichment)/X or less (in case of depletion)         genes belonging to the given attribute?         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment score = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -247,68 +149,47 @@ <h1>rnalysis.enrichment.RankedSet.enrich_hypergeometric<a class="headerlink" hre
 <dd class="field-odd"><p>a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
+</div>
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-<h1>rnalysis.enrichment.RankedSet.enrich_randomization<a class="headerlink" href="#rnalysis-enrichment-rankedset-enrich-randomization" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-enrich-randomization">
+<h1>rnalysis.enrichment.RankedSet.enrich_randomization<a class="headerlink" href="#rnalysis-enrichment-rankedset-enrich-randomization" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.enrich_randomization">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">enrich_randomization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.enrich_randomization" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">enrich_randomization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.enrich_randomization" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the FeatureSet for user-defined attributes against a background set         using a randomization test. The attributes are drawn from an Attribute Reference Table.         The background set is determined by either the input variable ‘background_genes’,         or by the input variable ‘biotype’ and a Biotype Reference Table. P-values are calculated using a         randomization test with the formula p = (successes + 1)/(repeats + 1).         This formula results in a positively-biased estimator of the real p-value         (a conservative estimate of p-value). When the number of reps approaches infinity,         the formula results in an unbiased estimator of the real p-value.         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -252,68 +154,47 @@ <h1>rnalysis.enrichment.RankedSet.enrich_randomization<a class="headerlink" href
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
+</div>
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-  <section id="rnalysis-enrichment-rankedset-enrich-randomization-parallel">
-<h1>rnalysis.enrichment.RankedSet.enrich_randomization_parallel<a class="headerlink" href="#rnalysis-enrichment-rankedset-enrich-randomization-parallel" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-enrich-randomization-parallel">
+<h1>rnalysis.enrichment.RankedSet.enrich_randomization_parallel<a class="headerlink" href="#rnalysis-enrichment-rankedset-enrich-randomization-parallel" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.enrich_randomization_parallel">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">enrich_randomization_parallel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fdr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.enrich_randomization_parallel" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">enrich_randomization_parallel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fdr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.enrich_randomization_parallel" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the FeatureSet for user-defined attributes against a background set         using a randomization test running in parallel.         This function is depracated, and is replaced by enrich_randomization(parallel_processing=True).         It will be removed in future versions of RNAlysis.         The attributes are drawn from an Attribute Reference Table.         Parallel processing makes this function generally faster than FeatureSet.enrich_randomization.         Results should otherwise be the same between the two functions.         To use it you must first start a parallel session, using the function ‘general.start_parallel_session()’.         The background set is determined by either the input variable ‘background_genes’,         or by the input variable ‘biotype’ and a Biotype Reference Table. P-values are calculated using a         randomization test with the formula p = (successes + 1)/(repeats + 1).         This formula results in a positively-biased estimator of the real p-value         (a conservative estimate of p-value). When the number of reps approaches infinity,         the formula results in an unbiased estimator of the real p-value.         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -250,68 +152,47 @@ <h1>rnalysis.enrichment.RankedSet.enrich_randomization_parallel<a class="headerl
 :type random_seed: The random seed used to initialize the pseudorandom generator for the randomization test.         By default it is picked at random, but you can set it to a particular integer to get consistents results         over multiple runs.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
+</div>
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diff --git a/docs/build/rnalysis.enrichment.RankedSet.go_enrichment.html b/docs/build/rnalysis.enrichment.RankedSet.go_enrichment.html
index 6e6671c1a..8e16178e1 100644
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-  <section id="rnalysis-enrichment-rankedset-go-enrichment">
-<h1>rnalysis.enrichment.RankedSet.go_enrichment<a class="headerlink" href="#rnalysis-enrichment-rankedset-go-enrichment" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-go-enrichment">
+<h1>rnalysis.enrichment.RankedSet.go_enrichment<a class="headerlink" href="#rnalysis-enrichment-rankedset-go-enrichment" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.go_enrichment">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">go_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">organism</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gene_id_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'UniProtKB'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">statistical_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'fisher'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">propagate_annotations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'elim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aspects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'not'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_nonsignificant</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">randomization_reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.go_enrichment" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">go_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">organism</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gene_id_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'UniProtKB'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">statistical_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'fisher'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">propagate_annotations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'elim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aspects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'not'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_nonsignificant</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">randomization_reps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.go_enrichment" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the FeatureSet for Gene Ontology (GO) terms against a background set         using the Hypergeometric Test. The GO terms and annotations are drawn via the GO Solr search engine GOlr,         using the search terms defined by the user.         The background set is determined by either the input variable ‘background_genes’,         or by the input variable ‘biotype’ and a Biotype Reference Table.         P-values are calculated using a hypergeometric test:         Given M genes in the background set, n genes in the test set,         with N genes from the background set belonging to a specific attribute (or ‘success’)         and X genes from the test set belonging to that attribute.         If we were to randomly draw n genes from the background set (without replacement),         what is the probability of drawing X or more (in case of enrichment)/X or less (in case of depletion)         genes belonging to the given attribute?         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment score = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -269,68 +171,47 @@ <h1>rnalysis.enrichment.RankedSet.go_enrichment<a class="headerlink" href="#rnal
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="plot_enrichment_results_go.png"><img alt="plot_enrichment_results_go.png" src="plot_enrichment_results_go.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_vertical.png"><img alt="plot_enrichment_results_go_vertical.png" src="plot_enrichment_results_go_vertical.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
+</div>
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-  <section id="rnalysis-enrichment-rankedset">
-<h1>rnalysis.enrichment.RankedSet<a class="headerlink" href="#rnalysis-enrichment-rankedset" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset">
+<h1>rnalysis.enrichment.RankedSet<a class="headerlink" href="#rnalysis-enrichment-rankedset" title="Permalink to this headline"></a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">RankedSet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ranked_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">RankedSet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ranked_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet" title="Permalink to this definition"></a></dt>
 <dd><p>Receives a ranked gene set, sorted by any biologically-meaningful value (expression level, fold-change, etc)     and preforms various enrichment analyses on them.      ALl functions that can be applied to FeatureSet objects can also be applied to RankedSet objects.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ranked_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.__init__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ranked_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.__init__" title="Permalink to this definition"></a></dt>
 <dd><dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
@@ -247,7 +150,7 @@ <h1>rnalysis.enrichment.RankedSet<a class="headerlink" href="#rnalysis-enrichmen
 
 </dd></dl>
 
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
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@@ -297,54 +200,37 @@ <h1>rnalysis.enrichment.RankedSet<a class="headerlink" href="#rnalysis-enrichmen
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-<h1>rnalysis.enrichment.RankedSet.intersection<a class="headerlink" href="#rnalysis-enrichment-rankedset-intersection" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-intersection">
+<h1>rnalysis.enrichment.RankedSet.intersection<a class="headerlink" href="#rnalysis-enrichment-rankedset-intersection" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.intersection">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.intersection" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.intersection" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates the set intersection of the indices from multiple FeatureSet objects         (the indices that exist in ALL of the FeatureSet objects).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -249,54 +151,37 @@ <h1>rnalysis.enrichment.RankedSet.intersection<a class="headerlink" href="#rnaly
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-<h1>rnalysis.enrichment.RankedSet.non_categorical_enrichment<a class="headerlink" href="#rnalysis-enrichment-rankedset-non-categorical-enrichment" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-non-categorical-enrichment">
+<h1>rnalysis.enrichment.RankedSet.non_categorical_enrichment<a class="headerlink" href="#rnalysis-enrichment-rankedset-non-categorical-enrichment" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.non_categorical_enrichment">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">non_categorical_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parametric_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_log_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'overlap'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.non_categorical_enrichment" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">non_categorical_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parametric_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_genes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">biotype_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_log_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'overlap'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.non_categorical_enrichment" title="Permalink to this definition"></a></dt>
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-<h1>rnalysis.enrichment.RankedSet.plot_enrichment_results<a class="headerlink" href="#rnalysis-enrichment-rankedset-plot-enrichment-results" title="Permalink to this headline">¶</a></h1>
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-<h1>rnalysis.enrichment.RankedSet.save_txt<a class="headerlink" href="#rnalysis-enrichment-rankedset-save-txt" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-save-txt">
+<h1>rnalysis.enrichment.RankedSet.save_txt<a class="headerlink" href="#rnalysis-enrichment-rankedset-save-txt" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.save_txt">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">save_txt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.save_txt" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">save_txt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.save_txt" title="Permalink to this definition"></a></dt>
 <dd><p>Save the list of features in the FeatureSet object under the specified filename and path.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -231,54 +133,37 @@ <h1>rnalysis.enrichment.RankedSet.save_txt<a class="headerlink" href="#rnalysis-
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-<h1>rnalysis.enrichment.RankedSet.single_set_enrichment<a class="headerlink" href="#rnalysis-enrichment-rankedset-single-set-enrichment" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-single-set-enrichment">
+<h1>rnalysis.enrichment.RankedSet.single_set_enrichment<a class="headerlink" href="#rnalysis-enrichment-rankedset-single-set-enrichment" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.single_set_enrichment">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">single_set_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.single_set_enrichment" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">single_set_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attr_ref_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.single_set_enrichment" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the sorted RankedSet for user-defined attributes         WITHOUT a background set, using the generalized Minimum Hypergeometric Test (XL-mHG, developed by          <a class="reference external" href="https://dx.doi.org/10.1371/journal.pcbi.0030039/">Prof. Zohar Yakhini and colleagues</a>         and generalized by         <a class="reference external" href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143196/">Florian Wagner</a>).         The attributes are drawn from an Attribute Reference Table.         P-values are calculated using using the generalized Minimum Hypergeometric Test.         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -244,68 +146,47 @@ <h1>rnalysis.enrichment.RankedSet.single_set_enrichment<a class="headerlink" hre
 <dd class="field-odd"><p>a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_single_set.png"><img alt="_images/plot_enrichment_results_single_set.png" src="_images/plot_enrichment_results_single_set.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_enrichment()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of single_set_enrichment()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_single_set_vertical.png"><img alt="_images/plot_enrichment_results_single_set_vertical.png" src="_images/plot_enrichment_results_single_set_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of single_set_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
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-<h1>rnalysis.enrichment.RankedSet.single_set_go_enrichment<a class="headerlink" href="#rnalysis-enrichment-rankedset-single-set-go-enrichment" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-single-set-go-enrichment">
+<h1>rnalysis.enrichment.RankedSet.single_set_go_enrichment<a class="headerlink" href="#rnalysis-enrichment-rankedset-single-set-go-enrichment" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.single_set_go_enrichment">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">single_set_go_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">organism</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gene_id_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'UniProtKB'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">propagate_annotations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'elim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aspects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'not'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_nonsignificant</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.single_set_go_enrichment" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">single_set_go_enrichment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">organism</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gene_id_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'UniProtKB'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">propagate_annotations</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'elim'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aspects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_evidence_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_databases</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'any'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">excluded_qualifiers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'not'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_nonsignificant</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_fig</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parallel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.single_set_go_enrichment" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates enrichment and depletion of the sorted RankedSet for Gene Ontology (GO) terms         WITHOUT a background set, using the generalized Minimum Hypergeometric Test (XL-mHG, developed by          <a class="reference external" href="https://dx.doi.org/10.1371/journal.pcbi.0030039/">Prof. Zohar Yakhini and colleagues</a>         and generalized by         <a class="reference external" href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143196/">Florian Wagner</a>).         The GO terms and annotations are drawn via the GO Solr search engine GOlr,         using the search terms defined by the user.         P-values are calculated using using the generalized Minimum Hypergeometric Test.         P-values are corrected for multiple comparisons using the Benjamini–Hochberg step-up procedure         (original FDR method). In plots, for the clarity of display, complete depletion (linear enrichment = 0)         appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -261,68 +163,47 @@ <h1>rnalysis.enrichment.RankedSet.single_set_go_enrichment<a class="headerlink"
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_singlelist.png"><img alt="plot_enrichment_results_go_singlelist.png" src="plot_enrichment_results_go_singlelist.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_go_enrichment()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id2">
+<p class="caption"><span class="caption-text">Example plot of single_set_go_enrichment()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id2">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_singlelist_vertical.png"><img alt="plot_enrichment_results_go_singlelist_vertical.png" src="plot_enrichment_results_go_singlelist_vertical.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of single_set_go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id2" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
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diff --git a/docs/build/rnalysis.enrichment.RankedSet.symmetric_difference.html b/docs/build/rnalysis.enrichment.RankedSet.symmetric_difference.html
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-<h1>rnalysis.enrichment.RankedSet.symmetric_difference<a class="headerlink" href="#rnalysis-enrichment-rankedset-symmetric-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-symmetric-difference">
+<h1>rnalysis.enrichment.RankedSet.symmetric_difference<a class="headerlink" href="#rnalysis-enrichment-rankedset-symmetric-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.symmetric_difference">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.symmetric_difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.symmetric_difference" title="Permalink to this definition"></a></dt>
 <dd><p>Calculates the set symmetric difference of the indices from two FeatureSet objects         (the indices that appear in EXACTLY ONE of the FeatureSet objects, and not both/neither).         A-symmetric difference-B is equivalent to (A-difference-B)-union-(B-difference-A).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -248,54 +150,37 @@ <h1>rnalysis.enrichment.RankedSet.symmetric_difference<a class="headerlink" href
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-<h1>rnalysis.enrichment.RankedSet.union<a class="headerlink" href="#rnalysis-enrichment-rankedset-union" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-rankedset-union">
+<h1>rnalysis.enrichment.RankedSet.union<a class="headerlink" href="#rnalysis-enrichment-rankedset-union" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.enrichment.RankedSet.union">
-<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.union" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RankedSet.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">set</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a></span></span><a class="headerlink" href="#rnalysis.enrichment.RankedSet.union" title="Permalink to this definition"></a></dt>
 <dd><blockquote>
 <div><p>Calculates the set union of the indices from multiple FeatureSet objects         (the indices that exist in at least one of the FeatureSet objects).</p>
 </div></blockquote>
@@ -251,54 +153,37 @@ <h1>rnalysis.enrichment.RankedSet.union<a class="headerlink" href="#rnalysis-enr
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+             
+  <div class="section" id="rnalysis-enrichment">
+<h1>rnalysis.enrichment<a class="headerlink" href="#rnalysis-enrichment" title="Permalink to this headline"></a></h1>
 <p class="rubric">Description</p>
 <span class="target" id="module-rnalysis.enrichment"></span><p>This module can perform enrichment analyses on a given set of genomic features and visualize their intersections. These include gene ontology/tissue/phenotype enrichment, enrichment for user-defined attributes, set visualization ,etc. Results of enrichment analyses can be saved to .csv files.</p>
 <p class="rubric">Classes</p>
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
 <colgroup>
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 <col style="width: 90%" />
@@ -218,7 +122,7 @@ <h1>rnalysis.enrichment<a class="headerlink" href="#rnalysis-enrichment" title="
 </tbody>
 </table>
 <p class="rubric">Functions</p>
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
 <colgroup>
 <col style="width: 10%" />
 <col style="width: 90%" />
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-<h1>rnalysis.enrichment.plot_enrichment_results<a class="headerlink" href="#rnalysis-enrichment-plot-enrichment-results" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-plot-enrichment-results">
+<h1>rnalysis.enrichment.plot_enrichment_results<a class="headerlink" href="#rnalysis-enrichment-plot-enrichment-results" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.enrichment.plot_enrichment_results">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">plot_enrichment_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">results_df</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">en_score_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log2_fold_enrichment'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_bars</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$\\log_2$(Fold</span> <span class="pre">Enrichment)'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">matplotlib.figure.Figure</span></span></span><a class="headerlink" href="#rnalysis.enrichment.plot_enrichment_results" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">plot_enrichment_results</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">results_df</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">en_score_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log2_fold_enrichment'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_bars</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_horizontal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$\\log_2$(Fold</span> <span class="pre">Enrichment)'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">matplotlib.figure.Figure</span></span></span><a class="headerlink" href="#rnalysis.enrichment.plot_enrichment_results" title="Permalink to this definition"></a></dt>
 <dd><p>Receives a DataFrame output from an enrichment function and plots it in a bar plot.     For the clarity of display, complete depletion (linear enrichment = 0)     appears with the smallest value in the scale.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -230,54 +133,37 @@ <h1>rnalysis.enrichment.plot_enrichment_results<a class="headerlink" href="#rnal
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-<h1>rnalysis.enrichment.upset_plot<a class="headerlink" href="#rnalysis-enrichment-upset-plot" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-upset-plot">
+<h1>rnalysis.enrichment.upset_plot<a class="headerlink" href="#rnalysis-enrichment-upset-plot" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.enrichment.upset_plot">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">upset_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">objs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.upset_plot" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">upset_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">objs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.upset_plot" title="Permalink to this definition"></a></dt>
 <dd><p>Generate an UpSet plot of 2 or more sets, FeatureSets or attributes from the Attribute Reference Table.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -216,65 +119,46 @@ <h1>rnalysis.enrichment.upset_plot<a class="headerlink" href="#rnalysis-enrichme
 </dd>
 <dt class="field-even">Returns</dt>
 <dd class="field-even"><p><p>a dictionary of matplotlib axes, where the keys are ‘matrix’, ‘intersections’, ‘totals’, ‘shading’.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/upsetplot.png"><img alt="_images/upsetplot.png" src="_images/upsetplot.png" style="width: 552.3px; height: 340.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
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 </dd>
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-<h1>rnalysis.enrichment.venn_diagram<a class="headerlink" href="#rnalysis-enrichment-venn-diagram" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-enrichment-venn-diagram">
+<h1>rnalysis.enrichment.venn_diagram<a class="headerlink" href="#rnalysis-enrichment-venn-diagram" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.enrichment.venn_diagram">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">venn_diagram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">objs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_colors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">('r',</span> <span class="pre">'g',</span> <span class="pre">'b')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weighted</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lines</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linecolor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'black'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linestyle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'solid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linewidth</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize_to</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.venn_diagram" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.enrichment.</span></span><span class="sig-name descname"><span class="pre">venn_diagram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">objs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.enrichment.FeatureSet.html#rnalysis.enrichment.FeatureSet" title="rnalysis.enrichment.FeatureSet"><span class="pre">rnalysis.enrichment.FeatureSet</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_colors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">('r',</span> <span class="pre">'g',</span> <span class="pre">'b')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weighted</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lines</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linecolor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'black'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linestyle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'solid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linewidth</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize_to</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.enrichment.venn_diagram" title="Permalink to this definition"></a></dt>
 <dd><p>Generate a Venn diagram of 2 to 3 sets, FeatureSets or attributes from the Attribute Reference Table.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -224,65 +127,46 @@ <h1>rnalysis.enrichment.venn_diagram<a class="headerlink" href="#rnalysis-enrich
 </dd>
 <dt class="field-even">Returns</dt>
 <dd class="field-even"><p><p>a tuple of a VennDiagram object; and a list of 2-3 Circle patches.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/venn.png"><img alt="_images/venn.png" src="_images/venn.png" style="width: 550.1999999999999px; height: 416.5px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
 </p>
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@@ -135,6 +80,7 @@
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-<h1>rnalysis.filtering.CountFilter.biotypes<a class="headerlink" href="#rnalysis-filtering-countfilter-biotypes" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-biotypes">
+<h1>rnalysis.filtering.CountFilter.biotypes<a class="headerlink" href="#rnalysis-filtering-countfilter-biotypes" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.biotypes">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">long_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.biotypes" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">long_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.biotypes" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a DataFrame of the biotypes in the Filter object and their count.
 :type long_format: ‘short’ or ‘long’ (default=’short’)
 :param long_format: ‘short’ returns a short-form DataFrame, which states the biotypes         in the Filter object and their count. ‘long’ returns a long-form DataFrame,
@@ -284,54 +187,37 @@ <h1>rnalysis.filtering.CountFilter.biotypes<a class="headerlink" href="#rnalysis
 </dl>
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-<h1>rnalysis.filtering.CountFilter.box_plot<a class="headerlink" href="#rnalysis-filtering-countfilter-box-plot" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-box-plot">
+<h1>rnalysis.filtering.CountFilter.box_plot<a class="headerlink" href="#rnalysis-filtering-countfilter-box-plot" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.box_plot">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">box_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">notch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scatter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log10(RPM</span> <span class="pre">+</span> <span class="pre">1)'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.box_plot" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">box_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">notch</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scatter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log10(RPM</span> <span class="pre">+</span> <span class="pre">1)'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.box_plot" title="Permalink to this definition"></a></dt>
 <dd><p>Generates a box plot of the specified samples in the CountFilter object in log10 scale.         Can plot both single samples and average multiple replicates.         It is recommended to use this function on normalized values and not on absolute read values.         The box indicates 25% and 75% percentiles, and the white dot indicates the median.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -262,62 +165,43 @@ <h1>rnalysis.filtering.CountFilter.box_plot<a class="headerlink" href="#rnalysis
 <dd class="field-even"><p>a seaborn boxplot object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="???.png"><img alt="???.png" src="???.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of box_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of box_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.CountFilter.clustergram<a class="headerlink" href="#rnalysis-filtering-countfilter-clustergram" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-clustergram">
+<h1>rnalysis.filtering.CountFilter.clustergram<a class="headerlink" href="#rnalysis-filtering-countfilter-clustergram" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.clustergram">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">clustergram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_names</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'euclidean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linkage</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'average'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.clustergram" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">clustergram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_names</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'euclidean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linkage</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'average'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.clustergram" title="Permalink to this definition"></a></dt>
 <dd><p>Performs hierarchical clustering and plots a clustergram on the base-2 log of a given set of samples.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -261,62 +164,43 @@ <h1>rnalysis.filtering.CountFilter.clustergram<a class="headerlink" href="#rnaly
 <dd class="field-even"><p>A seaborn clustermap object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/clustergram.png"><img alt="_images/clustergram.png" src="_images/clustergram.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of clustergram()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of clustergram()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
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@@ -135,6 +80,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-  <section id="rnalysis-filtering-countfilter-describe">
-<h1>rnalysis.filtering.CountFilter.describe<a class="headerlink" href="#rnalysis-filtering-countfilter-describe" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-describe">
+<h1>rnalysis.filtering.CountFilter.describe<a class="headerlink" href="#rnalysis-filtering-countfilter-describe" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.describe">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">describe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentiles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.01,</span> <span class="pre">0.25,</span> <span class="pre">0.5,</span> <span class="pre">0.75,</span> <span class="pre">0.99)</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.describe" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">describe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentiles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.01,</span> <span class="pre">0.25,</span> <span class="pre">0.5,</span> <span class="pre">0.75,</span> <span class="pre">0.99)</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.describe" title="Permalink to this definition"></a></dt>
 <dd><p>Generate descriptive statistics that summarize the central tendency, dispersion and shape         of the dataset’s distribution, excluding NaN values.         For more information see the documentation of pandas.DataFrame.describe.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -300,54 +203,37 @@ <h1>rnalysis.filtering.CountFilter.describe<a class="headerlink" href="#rnalysis
 </dl>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.CountFilter.difference<a class="headerlink" href="#rnalysis-filtering-countfilter-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-difference">
+<h1>rnalysis.filtering.CountFilter.difference<a class="headerlink" href="#rnalysis-filtering-countfilter-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.difference">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.difference" title="Permalink to this definition"></a></dt>
 <dd><p>Keep only the features that exist in the first Filter object/set but NOT in the others.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -283,54 +186,37 @@ <h1>rnalysis.filtering.CountFilter.difference<a class="headerlink" href="#rnalys
 </dl>
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diff --git a/docs/build/rnalysis.filtering.CountFilter.enhanced_box_plot.html b/docs/build/rnalysis.filtering.CountFilter.enhanced_box_plot.html
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@@ -135,6 +80,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html">rnalysis.filtering.CountFilter.normalize_with_scaling_factors</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-<h1>rnalysis.filtering.CountFilter.enhanced_box_plot<a class="headerlink" href="#rnalysis-filtering-countfilter-enhanced-box-plot" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-enhanced-box-plot">
+<h1>rnalysis.filtering.CountFilter.enhanced_box_plot<a class="headerlink" href="#rnalysis-filtering-countfilter-enhanced-box-plot" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.enhanced_box_plot">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">enhanced_box_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scatter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log10(RPM</span> <span class="pre">+</span> <span class="pre">1)'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.enhanced_box_plot" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">enhanced_box_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scatter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log10(RPM</span> <span class="pre">+</span> <span class="pre">1)'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.enhanced_box_plot" title="Permalink to this definition"></a></dt>
 <dd><p>Generates an enhanced box-plot of the specified samples in the CountFilter object in log10 scale.         Can plot both single samples and average multiple replicates.         It is recommended to use this function on normalized values and not on absolute read values.         The box indicates 25% and 75% percentiles, and the white dot indicates the median.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -261,62 +164,43 @@ <h1>rnalysis.filtering.CountFilter.enhanced_box_plot<a class="headerlink" href="
 <dd class="field-even"><p>a seaborn enhanced box-plot object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="???.png"><img alt="???.png" src="???.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enhanced_box_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enhanced_box_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
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-<h1>rnalysis.filtering.CountFilter.filter_biotype<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-biotype" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-filter-biotype">
+<h1>rnalysis.filtering.CountFilter.filter_biotype<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-biotype" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.filter_biotype">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_biotype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_biotype" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_biotype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_biotype" title="Permalink to this definition"></a></dt>
 <dd><p>Filters out all features that do not match the indicated biotype/biotypes.         Legal inputs: ‘protein_coding’,’pseudogene’,’piRNA’,’miRNA’,’ncRNA’,’lincRNA’,’rRNA’,’snRNA’,’snoRNA’.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -279,54 +182,37 @@ <h1>rnalysis.filtering.CountFilter.filter_biotype<a class="headerlink" href="#rn
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.CountFilter.filter_by_attribute<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-by-attribute" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-filter-by-attribute">
+<h1>rnalysis.filtering.CountFilter.filter_by_attribute<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-by-attribute" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.filter_by_attribute">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'union'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_by_attribute" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'union'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_by_attribute" title="Permalink to this definition"></a></dt>
 <dd><p>Filters features according to user-defined attributes from an Attribute Reference Table.         When multiple attributes are given, filtering can be done in ‘union’ mode         (where features that belong to at least one attribute are not filtered out), or in ‘intersection’ mode         (where only features that belong to ALL attributes are not filtered out).         To learn more about user-defined attributes and Attribute Reference Tables, read the user guide.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -301,54 +204,37 @@ <h1>rnalysis.filtering.CountFilter.filter_by_attribute<a class="headerlink" href
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@@ -135,6 +80,7 @@
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html">rnalysis.filtering.CountFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html">rnalysis.filtering.CountFilter.normalize_with_scaling_factors</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-<h1>rnalysis.filtering.CountFilter.filter_by_row_sum<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-by-row-sum" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-filter-by-row-sum">
+<h1>rnalysis.filtering.CountFilter.filter_by_row_sum<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-by-row-sum" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.filter_by_row_sum">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_by_row_sum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_by_row_sum" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_by_row_sum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_by_row_sum" title="Permalink to this definition"></a></dt>
 <dd><p>Removes features/rows whose sum is belove ‘threshold’.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -271,54 +174,37 @@ <h1>rnalysis.filtering.CountFilter.filter_by_row_sum<a class="headerlink" href="
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
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-<h1>rnalysis.filtering.CountFilter.filter_low_reads<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-low-reads" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-filter-low-reads">
+<h1>rnalysis.filtering.CountFilter.filter_low_reads<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-low-reads" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.filter_low_reads">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_low_reads</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_low_reads" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_low_reads</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_low_reads" title="Permalink to this definition"></a></dt>
 <dd><p>remove features which have less then ‘threshold’ reads all columns.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -271,54 +174,37 @@ <h1>rnalysis.filtering.CountFilter.filter_low_reads<a class="headerlink" href="#
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@@ -135,6 +80,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.from_folder.html">rnalysis.filtering.CountFilter.from_folder</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.head.html">rnalysis.filtering.CountFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html">rnalysis.filtering.CountFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html">rnalysis.filtering.CountFilter.normalize_with_scaling_factors</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-  <section id="rnalysis-filtering-countfilter-filter-missing-values">
-<h1>rnalysis.filtering.CountFilter.filter_missing_values<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-missing-values" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-filter-missing-values">
+<h1>rnalysis.filtering.CountFilter.filter_missing_values<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-missing-values" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.filter_missing_values">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_missing_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_missing_values" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_missing_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_missing_values" title="Permalink to this definition"></a></dt>
 <dd><p>Remove all rows whose values in the specified columns are missing (NaN).</p>
 <dl class="field-list simple">
 </dl>
@@ -273,54 +176,37 @@ <h1>rnalysis.filtering.CountFilter.filter_missing_values<a class="headerlink" hr
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diff --git a/docs/build/rnalysis.filtering.CountFilter.filter_percentile.html b/docs/build/rnalysis.filtering.CountFilter.filter_percentile.html
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-<h1>rnalysis.filtering.CountFilter.filter_percentile<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-percentile" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-filter-percentile">
+<h1>rnalysis.filtering.CountFilter.filter_percentile<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-percentile" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.filter_percentile">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_percentile" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_percentile" title="Permalink to this definition"></a></dt>
 <dd><p>Removes all entries above the specified percentile in the specified column.         For example, if the column were ‘pvalue’ and the percentile was 0.5, then all features whose pvalue is above         the median pvalue will be filtered out.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -279,54 +182,37 @@ <h1>rnalysis.filtering.CountFilter.filter_percentile<a class="headerlink" href="
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diff --git a/docs/build/rnalysis.filtering.CountFilter.filter_top_n.html b/docs/build/rnalysis.filtering.CountFilter.filter_top_n.html
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
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+             
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+<h1>rnalysis.filtering.CountFilter.filter_top_n<a class="headerlink" href="#rnalysis-filtering-countfilter-filter-top-n" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.filter_top_n">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_top_n</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_top_n" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">filter_top_n</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.filter_top_n" title="Permalink to this definition"></a></dt>
 <dd><p>Sort the rows by the values of specified column or columns, then keep only the top ‘n’ rows.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -282,54 +185,37 @@ <h1>rnalysis.filtering.CountFilter.filter_top_n<a class="headerlink" href="#rnal
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@@ -135,6 +80,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-  <section id="rnalysis-filtering-countfilter-fold-change">
-<h1>rnalysis.filtering.CountFilter.fold_change<a class="headerlink" href="#rnalysis-filtering-countfilter-fold-change" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-fold-change">
+<h1>rnalysis.filtering.CountFilter.fold_change<a class="headerlink" href="#rnalysis-filtering-countfilter-fold-change" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.fold_change">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">fold_change</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">numerator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denominator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numer_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denom_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'default'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.html#rnalysis.filtering.FoldChangeFilter" title="rnalysis.filtering.FoldChangeFilter"><span class="pre">rnalysis.filtering.FoldChangeFilter</span></a></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.fold_change" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">fold_change</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">numerator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denominator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numer_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denom_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'default'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.html#rnalysis.filtering.FoldChangeFilter" title="rnalysis.filtering.FoldChangeFilter"><span class="pre">rnalysis.filtering.FoldChangeFilter</span></a></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.fold_change" title="Permalink to this definition"></a></dt>
 <dd><p>Calculate the fold change between the numerator condition and the denominator condition,         and return it as a FoldChangeFilter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -281,54 +184,37 @@ <h1>rnalysis.filtering.CountFilter.fold_change<a class="headerlink" href="#rnaly
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diff --git a/docs/build/rnalysis.filtering.CountFilter.from_folder.html b/docs/build/rnalysis.filtering.CountFilter.from_folder.html
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-<h1>rnalysis.filtering.CountFilter.from_folder<a class="headerlink" href="#rnalysis-filtering-countfilter-from-folder" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-from-folder">
+<h1>rnalysis.filtering.CountFilter.from_folder<a class="headerlink" href="#rnalysis-filtering-countfilter-from-folder" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.from_folder">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">from_folder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">folder_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_to_rpm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">counted_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uncounted_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'.txt'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.from_folder" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">from_folder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">folder_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_to_rpm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">counted_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">uncounted_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'.txt'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.from_folder" title="Permalink to this definition"></a></dt>
 <dd><p>Iterates over HTSeq count .txt files in a given folder and combines them into a single CountFilter table.         Can also save the count data table and the uncounted data table to .csv files, and normalize the CountFilter         table to reads per million (RPM). Note that the saved data will always be count data, and not normalized data,         regardless if the CountFilter table was normalized or not.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -279,54 +182,37 @@ <h1>rnalysis.filtering.CountFilter.from_folder<a class="headerlink" href="#rnaly
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-<h1>rnalysis.filtering.CountFilter.head<a class="headerlink" href="#rnalysis-filtering-countfilter-head" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-head">
+<h1>rnalysis.filtering.CountFilter.head<a class="headerlink" href="#rnalysis-filtering-countfilter-head" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.head">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.head" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.head" title="Permalink to this definition"></a></dt>
 <dd><p>Return the first n rows of the Filter object. See pandas.DataFrame.head documentation.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -283,54 +186,37 @@ <h1>rnalysis.filtering.CountFilter.head<a class="headerlink" href="#rnalysis-fil
 </dl>
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@@ -135,6 +80,7 @@
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html">rnalysis.filtering.CountFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,78 +120,36 @@
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-  <section id="rnalysis-filtering-countfilter">
-<h1>rnalysis.filtering.CountFilter<a class="headerlink" href="#rnalysis-filtering-countfilter" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter">
+<h1>rnalysis.filtering.CountFilter<a class="headerlink" href="#rnalysis-filtering-countfilter" title="Permalink to this headline"></a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">CountFilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">CountFilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter" title="Permalink to this definition"></a></dt>
 <dd><p>A class that receives a count matrix and can filter it according to various characteristics.</p>
 <p><strong>Attributes</strong></p>
 <dl class="simple">
@@ -266,7 +170,7 @@ <h1>rnalysis.filtering.CountFilter<a class="headerlink" href="#rnalysis-filterin
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.__init__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.__init__" title="Permalink to this definition"></a></dt>
 <dd><dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
@@ -285,7 +189,7 @@ <h1>rnalysis.filtering.CountFilter<a class="headerlink" href="#rnalysis-filterin
 
 </dd></dl>
 
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
 <colgroup>
 <col style="width: 10%" />
 <col style="width: 90%" />
@@ -342,122 +246,108 @@ <h1>rnalysis.filtering.CountFilter<a class="headerlink" href="#rnalysis-filterin
 <tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html#rnalysis.filtering.CountFilter.intersection" title="rnalysis.filtering.CountFilter.intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.intersection</span></code></a>(*others[, ...])</p></td>
 <td><p>Keep only the features that exist in ALL of the given Filter objects/sets.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html#rnalysis.filtering.CountFilter.normalize_to_rpm" title="rnalysis.filtering.CountFilter.normalize_to_rpm"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.normalize_to_rpm</span></code></a>(...[, inplace])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html#rnalysis.filtering.CountFilter.majority_vote_intersection" title="rnalysis.filtering.CountFilter.majority_vote_intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.majority_vote_intersection</span></code></a>(*others)</p></td>
+<td><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html#rnalysis.filtering.CountFilter.normalize_to_rpm" title="rnalysis.filtering.CountFilter.normalize_to_rpm"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.normalize_to_rpm</span></code></a>(...[, inplace])</p></td>
 <td><p>Normalizes the reads in the CountFilter to Reads Per Million (RPM).</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html#rnalysis.filtering.CountFilter.normalize_with_scaling_factors" title="rnalysis.filtering.CountFilter.normalize_with_scaling_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.normalize_with_scaling_factors</span></code></a>(...)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html#rnalysis.filtering.CountFilter.normalize_with_scaling_factors" title="rnalysis.filtering.CountFilter.normalize_with_scaling_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.normalize_with_scaling_factors</span></code></a>(...)</p></td>
 <td><p>Normalizes the reads in the CountFilter using pre-calculated scaling factors.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html#rnalysis.filtering.CountFilter.number_filters" title="rnalysis.filtering.CountFilter.number_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.number_filters</span></code></a>(column, operator, ...)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html#rnalysis.filtering.CountFilter.number_filters" title="rnalysis.filtering.CountFilter.number_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.number_filters</span></code></a>(column, operator, ...)</p></td>
 <td><p>Applay a number filter (greater than, equal, lesser than) on a particular column in the Filter object.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.pairplot.html#rnalysis.filtering.CountFilter.pairplot" title="rnalysis.filtering.CountFilter.pairplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.pairplot</span></code></a>([sample_list, log2])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.pairplot.html#rnalysis.filtering.CountFilter.pairplot" title="rnalysis.filtering.CountFilter.pairplot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.pairplot</span></code></a>([sample_list, log2])</p></td>
 <td><p>Plot pairwise relationships in the dataset.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.pca.html#rnalysis.filtering.CountFilter.pca" title="rnalysis.filtering.CountFilter.pca"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.pca</span></code></a>([sample_names, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.pca.html#rnalysis.filtering.CountFilter.pca" title="rnalysis.filtering.CountFilter.pca"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.pca</span></code></a>([sample_names, ...])</p></td>
 <td><p>Performs Principal Component Analysis (PCA), visualizing the principal components that explain the most         variance between the different samples.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.plot_expression.html#rnalysis.filtering.CountFilter.plot_expression" title="rnalysis.filtering.CountFilter.plot_expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.plot_expression</span></code></a>(features, ...[, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.plot_expression.html#rnalysis.filtering.CountFilter.plot_expression" title="rnalysis.filtering.CountFilter.plot_expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.plot_expression</span></code></a>(features, ...[, ...])</p></td>
 <td><p>Plot the average expression and standard error of the specified features under the specified conditions.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.print_features.html#rnalysis.filtering.CountFilter.print_features" title="rnalysis.filtering.CountFilter.print_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.print_features</span></code></a>()</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.print_features.html#rnalysis.filtering.CountFilter.print_features" title="rnalysis.filtering.CountFilter.print_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.print_features</span></code></a>()</p></td>
 <td><p>Print the feature indices in the Filter object, sorted by their current order in the FIlter object,         and separated by newline.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.save_csv.html#rnalysis.filtering.CountFilter.save_csv" title="rnalysis.filtering.CountFilter.save_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.save_csv</span></code></a>([alt_filename])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.save_csv.html#rnalysis.filtering.CountFilter.save_csv" title="rnalysis.filtering.CountFilter.save_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.save_csv</span></code></a>([alt_filename])</p></td>
 <td><p>Saves the current filtered data to a .csv file.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.scatter_sample_vs_sample.html#rnalysis.filtering.CountFilter.scatter_sample_vs_sample" title="rnalysis.filtering.CountFilter.scatter_sample_vs_sample"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.scatter_sample_vs_sample</span></code></a>(...[, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.scatter_sample_vs_sample.html#rnalysis.filtering.CountFilter.scatter_sample_vs_sample" title="rnalysis.filtering.CountFilter.scatter_sample_vs_sample"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.scatter_sample_vs_sample</span></code></a>(...[, ...])</p></td>
 <td><p>Generate a scatter plot where every dot is a feature, the x value is log10 of reads         (counts, RPM, RPKM, TPM, etc) in sample1, the y value is log10 of reads in sample2.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.sort.html#rnalysis.filtering.CountFilter.sort" title="rnalysis.filtering.CountFilter.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.sort</span></code></a>(by[, ascending, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.sort.html#rnalysis.filtering.CountFilter.sort" title="rnalysis.filtering.CountFilter.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.sort</span></code></a>(by[, ascending, ...])</p></td>
 <td><p>Sort the rows by the values of specified column or columns.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_by_attribute.html#rnalysis.filtering.CountFilter.split_by_attribute" title="rnalysis.filtering.CountFilter.split_by_attribute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_by_attribute</span></code></a>(attributes[, ref])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_by_attribute.html#rnalysis.filtering.CountFilter.split_by_attribute" title="rnalysis.filtering.CountFilter.split_by_attribute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_by_attribute</span></code></a>(attributes[, ref])</p></td>
 <td><p>Splits the features in the Filter object into multiple Filter objects,         each corresponding to one of the specified Attribute Reference Table attributes.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_by_percentile.html#rnalysis.filtering.CountFilter.split_by_percentile" title="rnalysis.filtering.CountFilter.split_by_percentile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_by_percentile</span></code></a>(percentile, ...)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_by_percentile.html#rnalysis.filtering.CountFilter.split_by_percentile" title="rnalysis.filtering.CountFilter.split_by_percentile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_by_percentile</span></code></a>(percentile, ...)</p></td>
 <td><p>Splits the features in the Filter object into two non-overlapping Filter objects:         one containing features below the specified percentile in the specfieid column,         and the other containing features about the specified percentile in the specified column.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_by_reads.html#rnalysis.filtering.CountFilter.split_by_reads" title="rnalysis.filtering.CountFilter.split_by_reads"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_by_reads</span></code></a>([threshold])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_by_reads.html#rnalysis.filtering.CountFilter.split_by_reads" title="rnalysis.filtering.CountFilter.split_by_reads"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_by_reads</span></code></a>([threshold])</p></td>
 <td><p>Splits the features in the CountFilter object into two non-overlapping CountFilter         objects, based on the their maximum expression level.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_hdbscan.html#rnalysis.filtering.CountFilter.split_hdbscan" title="rnalysis.filtering.CountFilter.split_hdbscan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_hdbscan</span></code></a>(min_cluster_size)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_hdbscan.html#rnalysis.filtering.CountFilter.split_hdbscan" title="rnalysis.filtering.CountFilter.split_hdbscan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_hdbscan</span></code></a>(min_cluster_size)</p></td>
 <td><p>Clusters the features in the CountFilter object using the HDBSCAN clustering algorithm,         and then splits those features into multiple non-overlapping CountFilter objects,         based on the clustering result.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_hierarchical.html#rnalysis.filtering.CountFilter.split_hierarchical" title="rnalysis.filtering.CountFilter.split_hierarchical"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_hierarchical</span></code></a>(n_clusters[, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_hierarchical.html#rnalysis.filtering.CountFilter.split_hierarchical" title="rnalysis.filtering.CountFilter.split_hierarchical"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_hierarchical</span></code></a>(n_clusters[, ...])</p></td>
 <td><p>Clusters the features in the CountFilter object using the Hierarchical clustering algorithm,         and then splits those features into multiple non-overlapping CountFilter objects,         based on the clustering result.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_kmeans.html#rnalysis.filtering.CountFilter.split_kmeans" title="rnalysis.filtering.CountFilter.split_kmeans"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_kmeans</span></code></a>(n_clusters[, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_kmeans.html#rnalysis.filtering.CountFilter.split_kmeans" title="rnalysis.filtering.CountFilter.split_kmeans"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_kmeans</span></code></a>(n_clusters[, ...])</p></td>
 <td><p>Clusters the features in the CountFilter object using the K-means clustering algorithm,         and then splits those features into multiple non-overlapping CountFilter objects,         based on the clustering result.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_kmedoids.html#rnalysis.filtering.CountFilter.split_kmedoids" title="rnalysis.filtering.CountFilter.split_kmedoids"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_kmedoids</span></code></a>(n_clusters[, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.split_kmedoids.html#rnalysis.filtering.CountFilter.split_kmedoids" title="rnalysis.filtering.CountFilter.split_kmedoids"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.split_kmedoids</span></code></a>(n_clusters[, ...])</p></td>
 <td><p>Clusters the features in the CountFilter object using the K-medoids clustering algorithm,         and then splits those features into multiple non-overlapping CountFilter objects,         based on the clustering result.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.symmetric_difference.html#rnalysis.filtering.CountFilter.symmetric_difference" title="rnalysis.filtering.CountFilter.symmetric_difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.symmetric_difference</span></code></a>(other[, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.symmetric_difference.html#rnalysis.filtering.CountFilter.symmetric_difference" title="rnalysis.filtering.CountFilter.symmetric_difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.symmetric_difference</span></code></a>(other[, ...])</p></td>
 <td><p>Returns a set/string of the WBGene indices that exist either in the first Filter object/set OR the second,         but NOT in both (set symmetric difference).</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.tail.html#rnalysis.filtering.CountFilter.tail" title="rnalysis.filtering.CountFilter.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.tail</span></code></a>([n])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.tail.html#rnalysis.filtering.CountFilter.tail" title="rnalysis.filtering.CountFilter.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.tail</span></code></a>([n])</p></td>
 <td><p>Return the last n rows of the Filter object.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.text_filters.html#rnalysis.filtering.CountFilter.text_filters" title="rnalysis.filtering.CountFilter.text_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.text_filters</span></code></a>(column, operator, value)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.text_filters.html#rnalysis.filtering.CountFilter.text_filters" title="rnalysis.filtering.CountFilter.text_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.text_filters</span></code></a>(column, operator, value)</p></td>
 <td><p>Applay a text filter (equals, contains, starts with, ends with) on a particular column in the Filter object.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.union.html#rnalysis.filtering.CountFilter.union" title="rnalysis.filtering.CountFilter.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.union</span></code></a>(*others[, return_type])</p></td>
-<td><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.union.html#rnalysis.filtering.CountFilter.union" title="rnalysis.filtering.CountFilter.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.union</span></code></a>(*others[, return_type])</p></td>
+<td><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.violin_plot.html#rnalysis.filtering.CountFilter.violin_plot" title="rnalysis.filtering.CountFilter.violin_plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.violin_plot</span></code></a>([samples, ylabel])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.CountFilter.violin_plot.html#rnalysis.filtering.CountFilter.violin_plot" title="rnalysis.filtering.CountFilter.violin_plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CountFilter.violin_plot</span></code></a>([samples, ylabel])</p></td>
 <td><p>Generates a violin plot of the specified samples in the CountFilter object in log10 scale.</p></td>
 </tr>
 </tbody>
 </table>
-</section>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-countfilter-intersection">
-<h1>rnalysis.filtering.CountFilter.intersection<a class="headerlink" href="#rnalysis-filtering-countfilter-intersection" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-intersection">
+<h1>rnalysis.filtering.CountFilter.intersection<a class="headerlink" href="#rnalysis-filtering-countfilter-intersection" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.intersection">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.intersection" title="Permalink to this definition">¶</a></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.intersection" title="Permalink to this definition"></a></dt>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -279,54 +182,37 @@ <h1>rnalysis.filtering.CountFilter.intersection<a class="headerlink" href="#rnal
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diff --git a/docs/build/rnalysis.filtering.CountFilter.majority_vote_intersection.html b/docs/build/rnalysis.filtering.CountFilter.majority_vote_intersection.html
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+<h1>rnalysis.filtering.CountFilter.majority_vote_intersection<a class="headerlink" href="#rnalysis-filtering-countfilter-majority-vote-intersection" title="Permalink to this headline"></a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.majority_vote_intersection">
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.majority_vote_intersection" title="Permalink to this definition"></a></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
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@@ -135,6 +80,7 @@
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-  <section id="rnalysis-filtering-countfilter-normalize-to-rpm">
-<h1>rnalysis.filtering.CountFilter.normalize_to_rpm<a class="headerlink" href="#rnalysis-filtering-countfilter-normalize-to-rpm" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-normalize-to-rpm">
+<h1>rnalysis.filtering.CountFilter.normalize_to_rpm<a class="headerlink" href="#rnalysis-filtering-countfilter-normalize-to-rpm" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.normalize_to_rpm">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">normalize_to_rpm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">special_counter_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.normalize_to_rpm" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">normalize_to_rpm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">special_counter_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.normalize_to_rpm" title="Permalink to this definition"></a></dt>
 <dd><p>Normalizes the reads in the CountFilter to Reads Per Million (RPM).         Uses a table of feature counts (ambiguous, no feature, not aligned, etc) from HTSeq’s output.         Divides each column in the CountFilter object by (total reads + ambiguous + no feature)*10^-6 .</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -270,54 +173,37 @@ <h1>rnalysis.filtering.CountFilter.normalize_to_rpm<a class="headerlink" href="#
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diff --git a/docs/build/rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html b/docs/build/rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html
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@@ -135,6 +80,7 @@
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-<h1>rnalysis.filtering.CountFilter.normalize_with_scaling_factors<a class="headerlink" href="#rnalysis-filtering-countfilter-normalize-with-scaling-factors" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-normalize-with-scaling-factors">
+<h1>rnalysis.filtering.CountFilter.normalize_with_scaling_factors<a class="headerlink" href="#rnalysis-filtering-countfilter-normalize-with-scaling-factors" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.normalize_with_scaling_factors">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">normalize_with_scaling_factors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scaling_factor_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.normalize_with_scaling_factors" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">normalize_with_scaling_factors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scaling_factor_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.normalize_with_scaling_factors" title="Permalink to this definition"></a></dt>
 <dd><p>Normalizes the reads in the CountFilter using pre-calculated scaling factors.         Receives a table of sample names and their corresponding scaling factors,         and divides each column in the CountFilter by the corresponding scaling factor.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -270,54 +173,37 @@ <h1>rnalysis.filtering.CountFilter.normalize_with_scaling_factors<a class="heade
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diff --git a/docs/build/rnalysis.filtering.CountFilter.number_filters.html b/docs/build/rnalysis.filtering.CountFilter.number_filters.html
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@@ -135,6 +80,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.from_folder.html">rnalysis.filtering.CountFilter.from_folder</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.head.html">rnalysis.filtering.CountFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html">rnalysis.filtering.CountFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html">rnalysis.filtering.CountFilter.normalize_with_scaling_factors</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-  <section id="rnalysis-filtering-countfilter-number-filters">
-<h1>rnalysis.filtering.CountFilter.number_filters<a class="headerlink" href="#rnalysis-filtering-countfilter-number-filters" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-number-filters">
+<h1>rnalysis.filtering.CountFilter.number_filters<a class="headerlink" href="#rnalysis-filtering-countfilter-number-filters" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.number_filters">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.number_filters" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.number_filters" title="Permalink to this definition"></a></dt>
 <dd><p>Applay a number filter (greater than, equal, lesser than) on a particular column in the Filter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -286,54 +189,37 @@ <h1>rnalysis.filtering.CountFilter.number_filters<a class="headerlink" href="#rn
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-<h1>rnalysis.filtering.CountFilter.pairplot<a class="headerlink" href="#rnalysis-filtering-countfilter-pairplot" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-pairplot">
+<h1>rnalysis.filtering.CountFilter.pairplot<a class="headerlink" href="#rnalysis-filtering-countfilter-pairplot" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.pairplot">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">pairplot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">seaborn.axisgrid.PairGrid</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.pairplot" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">pairplot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">seaborn.axisgrid.PairGrid</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.pairplot" title="Permalink to this definition"></a></dt>
 <dd><p>Plot pairwise relationships in the dataset.         Can plot both single samples and average multiple replicates.         For more information see the documentation of seaborn.pairplot.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -260,62 +163,43 @@ <h1>rnalysis.filtering.CountFilter.pairplot<a class="headerlink" href="#rnalysis
 <dd class="field-even"><p>An instance of seaborn.PairGrid.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/pairplot.png"><img alt="_images/pairplot.png" src="_images/pairplot.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of pairplot()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of pairplot()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
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@@ -135,6 +80,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
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-<h1>rnalysis.filtering.CountFilter.pca<a class="headerlink" href="#rnalysis-filtering-countfilter-pca" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-pca">
+<h1>rnalysis.filtering.CountFilter.pca<a class="headerlink" href="#rnalysis-filtering-countfilter-pca" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.pca">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">pca</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_names</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_components</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_grouping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">sklearn.decomposition._pca.PCA</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.pca" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">pca</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_names</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_components</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_grouping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">sklearn.decomposition._pca.PCA</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">matplotlib.figure.Figure</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.pca" title="Permalink to this definition"></a></dt>
 <dd><p>Performs Principal Component Analysis (PCA), visualizing the principal components that explain the most         variance between the different samples. The function will automatically plot Principal Component #1          with every other Principal Components calculated.
 :param power_transform: if True, performs a power transform (Box-Cox) on the count data prior to PCA.
 :type power_transform: bool (default=False)
@@ -260,62 +163,43 @@ <h1>rnalysis.filtering.CountFilter.pca<a class="headerlink" href="#rnalysis-filt
 :type labels: bool (default=True)
 :param labels: if True, labels the points on the PCA plot.
 :return: A tuple whose first element is an sklearn.decomposition.pca object,         and second element is a list of matplotlib.axis objects.</p>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/pca.png"><img alt="_images/pca.png" src="_images/pca.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of pca()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of pca()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
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@@ -135,6 +80,7 @@
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html">rnalysis.filtering.CountFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-<h1>rnalysis.filtering.CountFilter.plot_expression<a class="headerlink" href="#rnalysis-filtering-countfilter-plot-expression" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-plot-expression">
+<h1>rnalysis.filtering.CountFilter.plot_expression<a class="headerlink" href="#rnalysis-filtering-countfilter-plot-expression" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.plot_expression">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">plot_expression</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_grouping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">count_unit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'Reads</span> <span class="pre">per</span> <span class="pre">million'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">matplotlib.figure.Figure</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.plot_expression" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">plot_expression</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_grouping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">count_unit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'Reads</span> <span class="pre">per</span> <span class="pre">million'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">matplotlib.figure.Figure</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.plot_expression" title="Permalink to this definition"></a></dt>
 <dd><p>Plot the average expression and standard error of the specified features under the specified conditions.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -258,62 +161,43 @@ <h1>rnalysis.filtering.CountFilter.plot_expression<a class="headerlink" href="#r
 </ul>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/plot_expression.png"><img alt="_images/plot_expression.png" src="_images/plot_expression.png" style="width: 403.6px; height: 294.40000000000003px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of plot_expression()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of plot_expression()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
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--- a/docs/build/rnalysis.filtering.CountFilter.print_features.html
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html">rnalysis.filtering.CountFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
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-            
-  <section id="rnalysis-filtering-countfilter-print-features">
-<h1>rnalysis.filtering.CountFilter.print_features<a class="headerlink" href="#rnalysis-filtering-countfilter-print-features" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-print-features">
+<h1>rnalysis.filtering.CountFilter.print_features<a class="headerlink" href="#rnalysis-filtering-countfilter-print-features" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.print_features">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">print_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.print_features" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">print_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.print_features" title="Permalink to this definition"></a></dt>
 <dd><p>Print the feature indices in the Filter object, sorted by their current order in the FIlter object,         and separated by newline.</p>
 <dl class="field-list">
 <dt class="field-odd">Examples</dt>
@@ -283,54 +186,37 @@ <h1>rnalysis.filtering.CountFilter.print_features<a class="headerlink" href="#rn
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diff --git a/docs/build/rnalysis.filtering.CountFilter.save_csv.html b/docs/build/rnalysis.filtering.CountFilter.save_csv.html
index 7c5071143..f6902d30e 100644
--- a/docs/build/rnalysis.filtering.CountFilter.save_csv.html
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@@ -135,6 +80,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.from_folder.html">rnalysis.filtering.CountFilter.from_folder</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html">rnalysis.filtering.CountFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html">rnalysis.filtering.CountFilter.normalize_with_scaling_factors</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-<h1>rnalysis.filtering.CountFilter.save_csv<a class="headerlink" href="#rnalysis-filtering-countfilter-save-csv" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-save-csv">
+<h1>rnalysis.filtering.CountFilter.save_csv<a class="headerlink" href="#rnalysis-filtering-countfilter-save-csv" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.save_csv">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">save_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alt_filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.save_csv" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">save_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alt_filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.save_csv" title="Permalink to this definition"></a></dt>
 <dd><p>Saves the current filtered data to a .csv file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -256,54 +159,37 @@ <h1>rnalysis.filtering.CountFilter.save_csv<a class="headerlink" href="#rnalysis
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-<h1>rnalysis.filtering.CountFilter.scatter_sample_vs_sample<a class="headerlink" href="#rnalysis-filtering-countfilter-scatter-sample-vs-sample" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-scatter-sample-vs-sample">
+<h1>rnalysis.filtering.CountFilter.scatter_sample_vs_sample<a class="headerlink" href="#rnalysis-filtering-countfilter-scatter-sample-vs-sample" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.scatter_sample_vs_sample">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">scatter_sample_vs_sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">xlabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">highlight</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">matplotlib.figure.Figure</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.scatter_sample_vs_sample" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">scatter_sample_vs_sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">xlabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">highlight</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">matplotlib.figure.Figure</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.scatter_sample_vs_sample" title="Permalink to this definition"></a></dt>
 <dd><p>Generate a scatter plot where every dot is a feature, the x value is log10 of reads         (counts, RPM, RPKM, TPM, etc) in sample1, the y value is log10 of reads in sample2.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -264,62 +167,43 @@ <h1>rnalysis.filtering.CountFilter.scatter_sample_vs_sample<a class="headerlink"
 <dd class="field-even"><p>a matplotlib axis object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/rpm_vs_rpm.png"><img alt="_images/rpm_vs_rpm.png" src="_images/rpm_vs_rpm.png" style="width: 480.0px; height: 477.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of scatter_sample_vs_sample()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of scatter_sample_vs_sample()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
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@@ -135,6 +80,7 @@
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-<h1>rnalysis.filtering.CountFilter.sort<a class="headerlink" href="#rnalysis-filtering-countfilter-sort" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-sort">
+<h1>rnalysis.filtering.CountFilter.sort<a class="headerlink" href="#rnalysis-filtering-countfilter-sort" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.sort">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">sort</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.sort" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">sort</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.sort" title="Permalink to this definition"></a></dt>
 <dd><p>Sort the rows by the values of specified column or columns.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -285,54 +188,37 @@ <h1>rnalysis.filtering.CountFilter.sort<a class="headerlink" href="#rnalysis-fil
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
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@@ -174,80 +120,37 @@
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-<h1>rnalysis.filtering.CountFilter.split_by_attribute<a class="headerlink" href="#rnalysis-filtering-countfilter-split-by-attribute" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-split-by-attribute">
+<h1>rnalysis.filtering.CountFilter.split_by_attribute<a class="headerlink" href="#rnalysis-filtering-countfilter-split-by-attribute" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.split_by_attribute">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_by_attribute" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_by_attribute" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the Filter object into multiple Filter objects,         each corresponding to one of the specified Attribute Reference Table attributes.         Each new Filter object will contain only features that belong to its Attribute Reference Table attribute.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -275,54 +178,37 @@ <h1>rnalysis.filtering.CountFilter.split_by_attribute<a class="headerlink" href=
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-<h1>rnalysis.filtering.CountFilter.split_by_percentile<a class="headerlink" href="#rnalysis-filtering-countfilter-split-by-percentile" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-split-by-percentile">
+<h1>rnalysis.filtering.CountFilter.split_by_percentile<a class="headerlink" href="#rnalysis-filtering-countfilter-split-by-percentile" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.split_by_percentile">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_by_percentile" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_by_percentile" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the Filter object into two non-overlapping Filter objects:         one containing features below the specified percentile in the specfieid column,         and the other containing features about the specified percentile in the specified column.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -274,54 +177,37 @@ <h1>rnalysis.filtering.CountFilter.split_by_percentile<a class="headerlink" href
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diff --git a/docs/build/rnalysis.filtering.CountFilter.split_by_reads.html b/docs/build/rnalysis.filtering.CountFilter.split_by_reads.html
index ebe6bb43a..b856efaab 100644
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@@ -135,6 +80,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
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-<h1>rnalysis.filtering.CountFilter.split_by_reads<a class="headerlink" href="#rnalysis-filtering-countfilter-split-by-reads" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-split-by-reads">
+<h1>rnalysis.filtering.CountFilter.split_by_reads<a class="headerlink" href="#rnalysis-filtering-countfilter-split-by-reads" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.split_by_reads">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_reads</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_by_reads" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_reads</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_by_reads" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the CountFilter object into two non-overlapping CountFilter         objects, based on the their maximum expression level. The first object will contain only highly-expressed          features (which have reads over the specified threshold in at least one sample). The second object will          contain only lowly-expressed features (which have reads below the specified threshold in all samples).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -271,54 +174,37 @@ <h1>rnalysis.filtering.CountFilter.split_by_reads<a class="headerlink" href="#rn
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-<h1>rnalysis.filtering.CountFilter.split_hdbscan<a class="headerlink" href="#rnalysis-filtering-countfilter-split-hdbscan" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-split-hdbscan">
+<h1>rnalysis.filtering.CountFilter.split_hdbscan<a class="headerlink" href="#rnalysis-filtering-countfilter-split-hdbscan" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.split_hdbscan">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_hdbscan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_cluster_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'euclidean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cluster_selection_epsilon</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cluster_selection_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'eom'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_plots</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_probabilities</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_hdbscan" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_hdbscan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_cluster_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'euclidean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cluster_selection_epsilon</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cluster_selection_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'eom'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_plots</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_probabilities</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_hdbscan" title="Permalink to this definition"></a></dt>
 <dd><p>Clusters the features in the CountFilter object using the HDBSCAN clustering algorithm,         and then splits those features into multiple non-overlapping CountFilter objects,         based on the clustering result.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -269,54 +172,37 @@ <h1>rnalysis.filtering.CountFilter.split_hdbscan<a class="headerlink" href="#rna
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-<h1>rnalysis.filtering.CountFilter.split_hierarchical<a class="headerlink" href="#rnalysis-filtering-countfilter-split-hierarchical" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-split-hierarchical">
+<h1>rnalysis.filtering.CountFilter.split_hierarchical<a class="headerlink" href="#rnalysis-filtering-countfilter-split-hierarchical" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.split_hierarchical">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_hierarchical</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_clusters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'euclidean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linkage</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'average'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_plots</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_n_clusters_estimate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_hierarchical" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_hierarchical</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_clusters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'euclidean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">linkage</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'average'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_plots</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_n_clusters_estimate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_hierarchical" title="Permalink to this definition"></a></dt>
 <dd><p>Clusters the features in the CountFilter object using the Hierarchical clustering algorithm,         and then splits those features into multiple non-overlapping CountFilter objects,         based on the clustering result.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -268,54 +171,37 @@ <h1>rnalysis.filtering.CountFilter.split_hierarchical<a class="headerlink" href=
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@@ -135,6 +80,7 @@
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html">rnalysis.filtering.CountFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-<h1>rnalysis.filtering.CountFilter.split_kmeans<a class="headerlink" href="#rnalysis-filtering-countfilter-split-kmeans" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-split-kmeans">
+<h1>rnalysis.filtering.CountFilter.split_kmeans<a class="headerlink" href="#rnalysis-filtering-countfilter-split-kmeans" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.split_kmeans">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_kmeans</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_clusters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_plots</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_n_clusters_estimate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_kmeans" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_kmeans</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_clusters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_plots</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_n_clusters_estimate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_kmeans" title="Permalink to this definition"></a></dt>
 <dd><p>Clusters the features in the CountFilter object using the K-means clustering algorithm,         and then splits those features into multiple non-overlapping CountFilter objects,         based on the clustering result.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -268,54 +171,37 @@ <h1>rnalysis.filtering.CountFilter.split_kmeans<a class="headerlink" href="#rnal
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-  <section id="rnalysis-filtering-countfilter-split-kmedoids">
-<h1>rnalysis.filtering.CountFilter.split_kmedoids<a class="headerlink" href="#rnalysis-filtering-countfilter-split-kmedoids" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-split-kmedoids">
+<h1>rnalysis.filtering.CountFilter.split_kmedoids<a class="headerlink" href="#rnalysis-filtering-countfilter-split-kmedoids" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.split_kmedoids">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_kmedoids</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_clusters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'euclidean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_plots</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_n_clusters_estimate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_kmedoids" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">split_kmedoids</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_clusters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metric</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'euclidean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">power_transform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_plots</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_n_clusters_estimate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.split_kmedoids" title="Permalink to this definition"></a></dt>
 <dd><p>Clusters the features in the CountFilter object using the K-medoids clustering algorithm,         and then splits those features into multiple non-overlapping CountFilter objects,         based on the clustering result.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -269,54 +172,37 @@ <h1>rnalysis.filtering.CountFilter.split_kmedoids<a class="headerlink" href="#rn
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-  <section id="rnalysis-filtering-countfilter-symmetric-difference">
-<h1>rnalysis.filtering.CountFilter.symmetric_difference<a class="headerlink" href="#rnalysis-filtering-countfilter-symmetric-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-symmetric-difference">
+<h1>rnalysis.filtering.CountFilter.symmetric_difference<a class="headerlink" href="#rnalysis-filtering-countfilter-symmetric-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.symmetric_difference">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.symmetric_difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.symmetric_difference" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a set/string of the WBGene indices that exist either in the first Filter object/set OR the second,         but NOT in both (set symmetric difference).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -283,54 +186,37 @@ <h1>rnalysis.filtering.CountFilter.symmetric_difference<a class="headerlink" hre
 </dl>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.CountFilter.tail<a class="headerlink" href="#rnalysis-filtering-countfilter-tail" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-tail">
+<h1>rnalysis.filtering.CountFilter.tail<a class="headerlink" href="#rnalysis-filtering-countfilter-tail" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.tail">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">tail</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.tail" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">tail</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.CountFilter.tail" title="Permalink to this definition"></a></dt>
 <dd><p>Return the last n rows of the Filter object. See pandas.DataFrame.tail documentation.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -291,54 +194,37 @@ <h1>rnalysis.filtering.CountFilter.tail<a class="headerlink" href="#rnalysis-fil
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diff --git a/docs/build/rnalysis.filtering.CountFilter.text_filters.html b/docs/build/rnalysis.filtering.CountFilter.text_filters.html
index e4ac60e0f..6553a5bed 100644
--- a/docs/build/rnalysis.filtering.CountFilter.text_filters.html
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@@ -135,6 +80,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.from_folder.html">rnalysis.filtering.CountFilter.from_folder</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.intersection.html">rnalysis.filtering.CountFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_to_rpm.html">rnalysis.filtering.CountFilter.normalize_to_rpm</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.normalize_with_scaling_factors.html">rnalysis.filtering.CountFilter.normalize_with_scaling_factors</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,80 +120,37 @@
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-<h1>rnalysis.filtering.CountFilter.text_filters<a class="headerlink" href="#rnalysis-filtering-countfilter-text-filters" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-text-filters">
+<h1>rnalysis.filtering.CountFilter.text_filters<a class="headerlink" href="#rnalysis-filtering-countfilter-text-filters" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.text_filters">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">text_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.text_filters" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">text_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.text_filters" title="Permalink to this definition"></a></dt>
 <dd><p>Applay a text filter (equals, contains, starts with, ends with) on a particular column in the Filter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -274,54 +177,37 @@ <h1>rnalysis.filtering.CountFilter.text_filters<a class="headerlink" href="#rnal
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@@ -135,6 +80,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.majority_vote_intersection.html">rnalysis.filtering.CountFilter.majority_vote_intersection</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.CountFilter.number_filters.html">rnalysis.filtering.CountFilter.number_filters</a></li>
@@ -174,86 +120,43 @@
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-  <section id="rnalysis-filtering-countfilter-union">
-<h1>rnalysis.filtering.CountFilter.union<a class="headerlink" href="#rnalysis-filtering-countfilter-union" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-union">
+<h1>rnalysis.filtering.CountFilter.union<a class="headerlink" href="#rnalysis-filtering-countfilter-union" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.union">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.union" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.union" title="Permalink to this definition"></a></dt>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -283,54 +186,37 @@ <h1>rnalysis.filtering.CountFilter.union<a class="headerlink" href="#rnalysis-fi
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@@ -135,6 +80,7 @@
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-<h1>rnalysis.filtering.CountFilter.violin_plot<a class="headerlink" href="#rnalysis-filtering-countfilter-violin-plot" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-countfilter-violin-plot">
+<h1>rnalysis.filtering.CountFilter.violin_plot<a class="headerlink" href="#rnalysis-filtering-countfilter-violin-plot" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.CountFilter.violin_plot">
-<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">violin_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$\\log_10$(normalized</span> <span class="pre">reads</span> <span class="pre">+</span> <span class="pre">1)'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.violin_plot" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CountFilter.</span></span><span class="sig-name descname"><span class="pre">violin_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ylabel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'$\\log_10$(normalized</span> <span class="pre">reads</span> <span class="pre">+</span> <span class="pre">1)'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.CountFilter.violin_plot" title="Permalink to this definition"></a></dt>
 <dd><p>Generates a violin plot of the specified samples in the CountFilter object in log10 scale.         Can plot both single samples and average multiple replicates.         It is recommended to use this function on normalized values and not on absolute read values.         Box inside the violin plot indicates 25% and 75% percentiles, and the white dot indicates the median.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -260,62 +163,43 @@ <h1>rnalysis.filtering.CountFilter.violin_plot<a class="headerlink" href="#rnaly
 <dd class="field-even"><p>a seaborn violin object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/violin.png"><img alt="_images/violin.png" src="_images/violin.png" style="width: 1152.0px; height: 556.1999999999999px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of violin_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of violin_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-deseqfilter-biotypes">
-<h1>rnalysis.filtering.DESeqFilter.biotypes<a class="headerlink" href="#rnalysis-filtering-deseqfilter-biotypes" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-biotypes">
+<h1>rnalysis.filtering.DESeqFilter.biotypes<a class="headerlink" href="#rnalysis-filtering-deseqfilter-biotypes" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.biotypes">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">long_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.biotypes" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">long_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.biotypes" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a DataFrame of the biotypes in the Filter object and their count.
 :type long_format: ‘short’ or ‘long’ (default=’short’)
 :param long_format: ‘short’ returns a short-form DataFrame, which states the biotypes         in the Filter object and their count. ‘long’ returns a long-form DataFrame,
@@ -270,54 +173,37 @@ <h1>rnalysis.filtering.DESeqFilter.biotypes<a class="headerlink" href="#rnalysis
 </dl>
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-<h1>rnalysis.filtering.DESeqFilter.describe<a class="headerlink" href="#rnalysis-filtering-deseqfilter-describe" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-describe">
+<h1>rnalysis.filtering.DESeqFilter.describe<a class="headerlink" href="#rnalysis-filtering-deseqfilter-describe" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.describe">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">describe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentiles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.01,</span> <span class="pre">0.25,</span> <span class="pre">0.5,</span> <span class="pre">0.75,</span> <span class="pre">0.99)</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.describe" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">describe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentiles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.01,</span> <span class="pre">0.25,</span> <span class="pre">0.5,</span> <span class="pre">0.75,</span> <span class="pre">0.99)</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.describe" title="Permalink to this definition"></a></dt>
 <dd><p>Generate descriptive statistics that summarize the central tendency, dispersion and shape         of the dataset’s distribution, excluding NaN values.         For more information see the documentation of pandas.DataFrame.describe.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -286,54 +189,37 @@ <h1>rnalysis.filtering.DESeqFilter.describe<a class="headerlink" href="#rnalysis
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@@ -132,6 +77,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.filter_top_n.html">rnalysis.filtering.DESeqFilter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.head.html">rnalysis.filtering.DESeqFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.intersection.html">rnalysis.filtering.DESeqFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-deseqfilter-difference">
-<h1>rnalysis.filtering.DESeqFilter.difference<a class="headerlink" href="#rnalysis-filtering-deseqfilter-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-difference">
+<h1>rnalysis.filtering.DESeqFilter.difference<a class="headerlink" href="#rnalysis-filtering-deseqfilter-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.difference">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.difference" title="Permalink to this definition"></a></dt>
 <dd><p>Keep only the features that exist in the first Filter object/set but NOT in the others.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -269,54 +172,37 @@ <h1>rnalysis.filtering.DESeqFilter.difference<a class="headerlink" href="#rnalys
 </dl>
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@@ -132,6 +77,7 @@
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-<h1>rnalysis.filtering.DESeqFilter.filter_abs_log2_fold_change<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-abs-log2-fold-change" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-filter-abs-log2-fold-change">
+<h1>rnalysis.filtering.DESeqFilter.filter_abs_log2_fold_change<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-abs-log2-fold-change" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.filter_abs_log2_fold_change">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_abs_log2_fold_change</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">abslog2fc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_abs_log2_fold_change" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_abs_log2_fold_change</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">abslog2fc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_abs_log2_fold_change" title="Permalink to this definition"></a></dt>
 <dd><p>Filters out all features whose absolute log2 fold change is below the indicated threshold.         For example: if log2fc is 2.0, all features whose log2 fold change is between 1 and -1 (went up less than         two-fold or went down less than two-fold) will be filtered out.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -257,54 +160,37 @@ <h1>rnalysis.filtering.DESeqFilter.filter_abs_log2_fold_change<a class="headerli
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.DESeqFilter.filter_biotype<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-biotype" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-filter-biotype">
+<h1>rnalysis.filtering.DESeqFilter.filter_biotype<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-biotype" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.filter_biotype">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_biotype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_biotype" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_biotype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_biotype" title="Permalink to this definition"></a></dt>
 <dd><p>Filters out all features that do not match the indicated biotype/biotypes.         Legal inputs: ‘protein_coding’,’pseudogene’,’piRNA’,’miRNA’,’ncRNA’,’lincRNA’,’rRNA’,’snRNA’,’snoRNA’.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -265,54 +168,37 @@ <h1>rnalysis.filtering.DESeqFilter.filter_biotype<a class="headerlink" href="#rn
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@@ -132,6 +77,7 @@
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-  <section id="rnalysis-filtering-deseqfilter-filter-by-attribute">
-<h1>rnalysis.filtering.DESeqFilter.filter_by_attribute<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-by-attribute" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-filter-by-attribute">
+<h1>rnalysis.filtering.DESeqFilter.filter_by_attribute<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-by-attribute" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.filter_by_attribute">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'union'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_by_attribute" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'union'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_by_attribute" title="Permalink to this definition"></a></dt>
 <dd><p>Filters features according to user-defined attributes from an Attribute Reference Table.         When multiple attributes are given, filtering can be done in ‘union’ mode         (where features that belong to at least one attribute are not filtered out), or in ‘intersection’ mode         (where only features that belong to ALL attributes are not filtered out).         To learn more about user-defined attributes and Attribute Reference Tables, read the user guide.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -287,54 +190,37 @@ <h1>rnalysis.filtering.DESeqFilter.filter_by_attribute<a class="headerlink" href
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-<h1>rnalysis.filtering.DESeqFilter.filter_fold_change_direction<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-fold-change-direction" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-filter-fold-change-direction">
+<h1>rnalysis.filtering.DESeqFilter.filter_fold_change_direction<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-fold-change-direction" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.filter_fold_change_direction">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_fold_change_direction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">direction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'pos'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_fold_change_direction" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_fold_change_direction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">direction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'pos'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_fold_change_direction" title="Permalink to this definition"></a></dt>
 <dd><p>Filters out features according to the direction in which they changed between the two conditions.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -267,54 +170,37 @@ <h1>rnalysis.filtering.DESeqFilter.filter_fold_change_direction<a class="headerl
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diff --git a/docs/build/rnalysis.filtering.DESeqFilter.filter_missing_values.html b/docs/build/rnalysis.filtering.DESeqFilter.filter_missing_values.html
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@@ -132,6 +77,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.filter_top_n.html">rnalysis.filtering.DESeqFilter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.head.html">rnalysis.filtering.DESeqFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.intersection.html">rnalysis.filtering.DESeqFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.DESeqFilter.filter_missing_values<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-missing-values" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-filter-missing-values">
+<h1>rnalysis.filtering.DESeqFilter.filter_missing_values<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-missing-values" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.filter_missing_values">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_missing_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_missing_values" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_missing_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_missing_values" title="Permalink to this definition"></a></dt>
 <dd><p>Remove all rows whose values in the specified columns are missing (NaN).</p>
 <dl class="field-list simple">
 </dl>
@@ -259,54 +162,37 @@ <h1>rnalysis.filtering.DESeqFilter.filter_missing_values<a class="headerlink" hr
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@@ -132,6 +77,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.filter_top_n.html">rnalysis.filtering.DESeqFilter.filter_top_n</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-deseqfilter-filter-percentile">
-<h1>rnalysis.filtering.DESeqFilter.filter_percentile<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-percentile" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-filter-percentile">
+<h1>rnalysis.filtering.DESeqFilter.filter_percentile<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-percentile" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.filter_percentile">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_percentile" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_percentile" title="Permalink to this definition"></a></dt>
 <dd><p>Removes all entries above the specified percentile in the specified column.         For example, if the column were ‘pvalue’ and the percentile was 0.5, then all features whose pvalue is above         the median pvalue will be filtered out.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -265,54 +168,37 @@ <h1>rnalysis.filtering.DESeqFilter.filter_percentile<a class="headerlink" href="
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@@ -132,6 +77,7 @@
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-<h1>rnalysis.filtering.DESeqFilter.filter_significant<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-significant" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-filter-significant">
+<h1>rnalysis.filtering.DESeqFilter.filter_significant<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-significant" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.filter_significant">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_significant</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_significant" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_significant</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_significant" title="Permalink to this definition"></a></dt>
 <dd><p>Removes all features which did not change significantly, according to the provided alpha.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -264,54 +167,37 @@ <h1>rnalysis.filtering.DESeqFilter.filter_significant<a class="headerlink" href=
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@@ -132,6 +77,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.save_csv.html">rnalysis.filtering.DESeqFilter.save_csv</a></li>
@@ -160,80 +106,37 @@
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-  <section id="rnalysis-filtering-deseqfilter-filter-top-n">
-<h1>rnalysis.filtering.DESeqFilter.filter_top_n<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-top-n" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-filter-top-n">
+<h1>rnalysis.filtering.DESeqFilter.filter_top_n<a class="headerlink" href="#rnalysis-filtering-deseqfilter-filter-top-n" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.filter_top_n">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_top_n</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_top_n" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">filter_top_n</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.filter_top_n" title="Permalink to this definition"></a></dt>
 <dd><p>Sort the rows by the values of specified column or columns, then keep only the top ‘n’ rows.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -268,54 +171,37 @@ <h1>rnalysis.filtering.DESeqFilter.filter_top_n<a class="headerlink" href="#rnal
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-<h1>rnalysis.filtering.DESeqFilter.head<a class="headerlink" href="#rnalysis-filtering-deseqfilter-head" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-head">
+<h1>rnalysis.filtering.DESeqFilter.head<a class="headerlink" href="#rnalysis-filtering-deseqfilter-head" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.head">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.head" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.head" title="Permalink to this definition"></a></dt>
 <dd><p>Return the first n rows of the Filter object. See pandas.DataFrame.head documentation.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -269,54 +172,37 @@ <h1>rnalysis.filtering.DESeqFilter.head<a class="headerlink" href="#rnalysis-fil
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@@ -132,6 +77,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.DESeqFilter<a class="headerlink" href="#rnalysis-filtering-deseqfilter" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter">
+<h1>rnalysis.filtering.DESeqFilter<a class="headerlink" href="#rnalysis-filtering-deseqfilter" title="Permalink to this headline"></a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">DESeqFilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log2fc_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log2FoldChange'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">padj_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'padj'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">suppress_warnings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">DESeqFilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log2fc_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log2FoldChange'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">padj_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'padj'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">suppress_warnings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter" title="Permalink to this definition"></a></dt>
 <dd><p>A class that receives a DESeq output file and can filter it according to various characteristics.</p>
 <p><strong>Attributes</strong></p>
 <dl class="simple">
@@ -250,7 +154,7 @@ <h1>rnalysis.filtering.DESeqFilter<a class="headerlink" href="#rnalysis-filterin
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log2fc_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log2FoldChange'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">padj_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'padj'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">suppress_warnings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.__init__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log2fc_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'log2FoldChange'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">padj_col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'padj'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">suppress_warnings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.__init__" title="Permalink to this definition"></a></dt>
 <dd><dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
@@ -269,7 +173,7 @@ <h1>rnalysis.filtering.DESeqFilter<a class="headerlink" href="#rnalysis-filterin
 
 </dd></dl>
 
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
 <colgroup>
 <col style="width: 10%" />
 <col style="width: 90%" />
@@ -314,92 +218,78 @@ <h1>rnalysis.filtering.DESeqFilter<a class="headerlink" href="#rnalysis-filterin
 <tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.intersection.html#rnalysis.filtering.DESeqFilter.intersection" title="rnalysis.filtering.DESeqFilter.intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.intersection</span></code></a>(*others[, ...])</p></td>
 <td><p>Keep only the features that exist in ALL of the given Filter objects/sets.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.number_filters.html#rnalysis.filtering.DESeqFilter.number_filters" title="rnalysis.filtering.DESeqFilter.number_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.number_filters</span></code></a>(column, operator, ...)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html#rnalysis.filtering.DESeqFilter.majority_vote_intersection" title="rnalysis.filtering.DESeqFilter.majority_vote_intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.majority_vote_intersection</span></code></a>(*others)</p></td>
+<td><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.number_filters.html#rnalysis.filtering.DESeqFilter.number_filters" title="rnalysis.filtering.DESeqFilter.number_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.number_filters</span></code></a>(column, operator, ...)</p></td>
 <td><p>Applay a number filter (greater than, equal, lesser than) on a particular column in the Filter object.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.print_features.html#rnalysis.filtering.DESeqFilter.print_features" title="rnalysis.filtering.DESeqFilter.print_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.print_features</span></code></a>()</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.print_features.html#rnalysis.filtering.DESeqFilter.print_features" title="rnalysis.filtering.DESeqFilter.print_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.print_features</span></code></a>()</p></td>
 <td><p>Print the feature indices in the Filter object, sorted by their current order in the FIlter object,         and separated by newline.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.save_csv.html#rnalysis.filtering.DESeqFilter.save_csv" title="rnalysis.filtering.DESeqFilter.save_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.save_csv</span></code></a>([alt_filename])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.save_csv.html#rnalysis.filtering.DESeqFilter.save_csv" title="rnalysis.filtering.DESeqFilter.save_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.save_csv</span></code></a>([alt_filename])</p></td>
 <td><p>Saves the current filtered data to a .csv file.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.sort.html#rnalysis.filtering.DESeqFilter.sort" title="rnalysis.filtering.DESeqFilter.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.sort</span></code></a>(by[, ascending, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.sort.html#rnalysis.filtering.DESeqFilter.sort" title="rnalysis.filtering.DESeqFilter.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.sort</span></code></a>(by[, ascending, ...])</p></td>
 <td><p>Sort the rows by the values of specified column or columns.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.split_by_attribute.html#rnalysis.filtering.DESeqFilter.split_by_attribute" title="rnalysis.filtering.DESeqFilter.split_by_attribute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.split_by_attribute</span></code></a>(attributes[, ref])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.split_by_attribute.html#rnalysis.filtering.DESeqFilter.split_by_attribute" title="rnalysis.filtering.DESeqFilter.split_by_attribute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.split_by_attribute</span></code></a>(attributes[, ref])</p></td>
 <td><p>Splits the features in the Filter object into multiple Filter objects,         each corresponding to one of the specified Attribute Reference Table attributes.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.split_by_percentile.html#rnalysis.filtering.DESeqFilter.split_by_percentile" title="rnalysis.filtering.DESeqFilter.split_by_percentile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.split_by_percentile</span></code></a>(percentile, ...)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.split_by_percentile.html#rnalysis.filtering.DESeqFilter.split_by_percentile" title="rnalysis.filtering.DESeqFilter.split_by_percentile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.split_by_percentile</span></code></a>(percentile, ...)</p></td>
 <td><p>Splits the features in the Filter object into two non-overlapping Filter objects:         one containing features below the specified percentile in the specfieid column,         and the other containing features about the specified percentile in the specified column.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.split_fold_change_direction.html#rnalysis.filtering.DESeqFilter.split_fold_change_direction" title="rnalysis.filtering.DESeqFilter.split_fold_change_direction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.split_fold_change_direction</span></code></a>()</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.split_fold_change_direction.html#rnalysis.filtering.DESeqFilter.split_fold_change_direction" title="rnalysis.filtering.DESeqFilter.split_fold_change_direction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.split_fold_change_direction</span></code></a>()</p></td>
 <td><p>Splits the features in the DESeqFilter object into two non-overlapping DESeqFilter         objects, based on the direction of their log2foldchange.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.symmetric_difference.html#rnalysis.filtering.DESeqFilter.symmetric_difference" title="rnalysis.filtering.DESeqFilter.symmetric_difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.symmetric_difference</span></code></a>(other[, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.symmetric_difference.html#rnalysis.filtering.DESeqFilter.symmetric_difference" title="rnalysis.filtering.DESeqFilter.symmetric_difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.symmetric_difference</span></code></a>(other[, ...])</p></td>
 <td><p>Returns a set/string of the WBGene indices that exist either in the first Filter object/set OR the second,         but NOT in both (set symmetric difference).</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.tail.html#rnalysis.filtering.DESeqFilter.tail" title="rnalysis.filtering.DESeqFilter.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.tail</span></code></a>([n])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.tail.html#rnalysis.filtering.DESeqFilter.tail" title="rnalysis.filtering.DESeqFilter.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.tail</span></code></a>([n])</p></td>
 <td><p>Return the last n rows of the Filter object.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.text_filters.html#rnalysis.filtering.DESeqFilter.text_filters" title="rnalysis.filtering.DESeqFilter.text_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.text_filters</span></code></a>(column, operator, value)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.text_filters.html#rnalysis.filtering.DESeqFilter.text_filters" title="rnalysis.filtering.DESeqFilter.text_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.text_filters</span></code></a>(column, operator, value)</p></td>
 <td><p>Applay a text filter (equals, contains, starts with, ends with) on a particular column in the Filter object.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.union.html#rnalysis.filtering.DESeqFilter.union" title="rnalysis.filtering.DESeqFilter.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.union</span></code></a>(*others[, return_type])</p></td>
-<td><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.union.html#rnalysis.filtering.DESeqFilter.union" title="rnalysis.filtering.DESeqFilter.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.union</span></code></a>(*others[, return_type])</p></td>
+<td><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.volcano_plot.html#rnalysis.filtering.DESeqFilter.volcano_plot" title="rnalysis.filtering.DESeqFilter.volcano_plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.volcano_plot</span></code></a>([alpha])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.DESeqFilter.volcano_plot.html#rnalysis.filtering.DESeqFilter.volcano_plot" title="rnalysis.filtering.DESeqFilter.volcano_plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DESeqFilter.volcano_plot</span></code></a>([alpha])</p></td>
 <td><p>Plots a volcano plot (log2(fold change) vs -log10(adj.</p></td>
 </tr>
 </tbody>
 </table>
-</section>
+</div>
 
 
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-  <section id="rnalysis-filtering-deseqfilter-intersection">
-<h1>rnalysis.filtering.DESeqFilter.intersection<a class="headerlink" href="#rnalysis-filtering-deseqfilter-intersection" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-intersection">
+<h1>rnalysis.filtering.DESeqFilter.intersection<a class="headerlink" href="#rnalysis-filtering-deseqfilter-intersection" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.intersection">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.intersection" title="Permalink to this definition">¶</a></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.intersection" title="Permalink to this definition"></a></dt>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -265,54 +168,37 @@ <h1>rnalysis.filtering.DESeqFilter.intersection<a class="headerlink" href="#rnal
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+  <div class="section" id="rnalysis-filtering-deseqfilter-majority-vote-intersection">
+<h1>rnalysis.filtering.DESeqFilter.majority_vote_intersection<a class="headerlink" href="#rnalysis-filtering-deseqfilter-majority-vote-intersection" title="Permalink to this headline"></a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.majority_vote_intersection">
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.majority_vote_intersection" title="Permalink to this definition"></a></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
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-  <section id="rnalysis-filtering-deseqfilter-number-filters">
-<h1>rnalysis.filtering.DESeqFilter.number_filters<a class="headerlink" href="#rnalysis-filtering-deseqfilter-number-filters" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-number-filters">
+<h1>rnalysis.filtering.DESeqFilter.number_filters<a class="headerlink" href="#rnalysis-filtering-deseqfilter-number-filters" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.number_filters">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.number_filters" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.number_filters" title="Permalink to this definition"></a></dt>
 <dd><p>Applay a number filter (greater than, equal, lesser than) on a particular column in the Filter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -272,54 +175,37 @@ <h1>rnalysis.filtering.DESeqFilter.number_filters<a class="headerlink" href="#rn
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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@@ -160,80 +106,37 @@
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-<h1>rnalysis.filtering.DESeqFilter.print_features<a class="headerlink" href="#rnalysis-filtering-deseqfilter-print-features" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-print-features">
+<h1>rnalysis.filtering.DESeqFilter.print_features<a class="headerlink" href="#rnalysis-filtering-deseqfilter-print-features" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.print_features">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">print_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.print_features" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">print_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.print_features" title="Permalink to this definition"></a></dt>
 <dd><p>Print the feature indices in the Filter object, sorted by their current order in the FIlter object,         and separated by newline.</p>
 <dl class="field-list">
 <dt class="field-odd">Examples</dt>
@@ -269,54 +172,37 @@ <h1>rnalysis.filtering.DESeqFilter.print_features<a class="headerlink" href="#rn
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diff --git a/docs/build/rnalysis.filtering.DESeqFilter.save_csv.html b/docs/build/rnalysis.filtering.DESeqFilter.save_csv.html
index cebcd3605..e78693d85 100644
--- a/docs/build/rnalysis.filtering.DESeqFilter.save_csv.html
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@@ -132,6 +77,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.filter_top_n.html">rnalysis.filtering.DESeqFilter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.head.html">rnalysis.filtering.DESeqFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.intersection.html">rnalysis.filtering.DESeqFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.number_filters.html">rnalysis.filtering.DESeqFilter.number_filters</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.print_features.html">rnalysis.filtering.DESeqFilter.print_features</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">rnalysis.filtering.DESeqFilter.save_csv</a></li>
@@ -160,80 +106,37 @@
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-<h1>rnalysis.filtering.DESeqFilter.save_csv<a class="headerlink" href="#rnalysis-filtering-deseqfilter-save-csv" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-save-csv">
+<h1>rnalysis.filtering.DESeqFilter.save_csv<a class="headerlink" href="#rnalysis-filtering-deseqfilter-save-csv" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.save_csv">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">save_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alt_filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.save_csv" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">save_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alt_filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.save_csv" title="Permalink to this definition"></a></dt>
 <dd><p>Saves the current filtered data to a .csv file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -242,54 +145,37 @@ <h1>rnalysis.filtering.DESeqFilter.save_csv<a class="headerlink" href="#rnalysis
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-<h1>rnalysis.filtering.DESeqFilter.sort<a class="headerlink" href="#rnalysis-filtering-deseqfilter-sort" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-sort">
+<h1>rnalysis.filtering.DESeqFilter.sort<a class="headerlink" href="#rnalysis-filtering-deseqfilter-sort" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.sort">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">sort</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.sort" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">sort</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.sort" title="Permalink to this definition"></a></dt>
 <dd><p>Sort the rows by the values of specified column or columns.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -271,54 +174,37 @@ <h1>rnalysis.filtering.DESeqFilter.sort<a class="headerlink" href="#rnalysis-fil
 </dl>
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diff --git a/docs/build/rnalysis.filtering.DESeqFilter.split_by_attribute.html b/docs/build/rnalysis.filtering.DESeqFilter.split_by_attribute.html
index 8b0321d8c..277b48a9f 100644
--- a/docs/build/rnalysis.filtering.DESeqFilter.split_by_attribute.html
+++ b/docs/build/rnalysis.filtering.DESeqFilter.split_by_attribute.html
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@@ -132,6 +77,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.filter_top_n.html">rnalysis.filtering.DESeqFilter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.head.html">rnalysis.filtering.DESeqFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.intersection.html">rnalysis.filtering.DESeqFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.save_csv.html">rnalysis.filtering.DESeqFilter.save_csv</a></li>
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-<h1>rnalysis.filtering.DESeqFilter.split_by_attribute<a class="headerlink" href="#rnalysis-filtering-deseqfilter-split-by-attribute" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-split-by-attribute">
+<h1>rnalysis.filtering.DESeqFilter.split_by_attribute<a class="headerlink" href="#rnalysis-filtering-deseqfilter-split-by-attribute" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.split_by_attribute">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.split_by_attribute" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.split_by_attribute" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the Filter object into multiple Filter objects,         each corresponding to one of the specified Attribute Reference Table attributes.         Each new Filter object will contain only features that belong to its Attribute Reference Table attribute.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -261,54 +164,37 @@ <h1>rnalysis.filtering.DESeqFilter.split_by_attribute<a class="headerlink" href=
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@@ -132,6 +77,7 @@
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-<h1>rnalysis.filtering.DESeqFilter.split_by_percentile<a class="headerlink" href="#rnalysis-filtering-deseqfilter-split-by-percentile" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-split-by-percentile">
+<h1>rnalysis.filtering.DESeqFilter.split_by_percentile<a class="headerlink" href="#rnalysis-filtering-deseqfilter-split-by-percentile" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.split_by_percentile">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.split_by_percentile" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.split_by_percentile" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the Filter object into two non-overlapping Filter objects:         one containing features below the specified percentile in the specfieid column,         and the other containing features about the specified percentile in the specified column.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -260,54 +163,37 @@ <h1>rnalysis.filtering.DESeqFilter.split_by_percentile<a class="headerlink" href
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diff --git a/docs/build/rnalysis.filtering.DESeqFilter.split_fold_change_direction.html b/docs/build/rnalysis.filtering.DESeqFilter.split_fold_change_direction.html
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@@ -132,6 +77,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.filter_top_n.html">rnalysis.filtering.DESeqFilter.filter_top_n</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.DESeqFilter.split_fold_change_direction<a class="headerlink" href="#rnalysis-filtering-deseqfilter-split-fold-change-direction" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-split-fold-change-direction">
+<h1>rnalysis.filtering.DESeqFilter.split_fold_change_direction<a class="headerlink" href="#rnalysis-filtering-deseqfilter-split-fold-change-direction" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.split_fold_change_direction">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">split_fold_change_direction</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.split_fold_change_direction" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">split_fold_change_direction</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.split_fold_change_direction" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the DESeqFilter object into two non-overlapping DESeqFilter         objects, based on the direction of their log2foldchange. The first object will contain only features with a         positive log2foldchange, the second object will contain only features with a negative log2foldchange.</p>
 <dl class="field-list">
 <dt class="field-odd">Return type</dt>
@@ -254,54 +157,37 @@ <h1>rnalysis.filtering.DESeqFilter.split_fold_change_direction<a class="headerli
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.DESeqFilter.symmetric_difference<a class="headerlink" href="#rnalysis-filtering-deseqfilter-symmetric-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-symmetric-difference">
+<h1>rnalysis.filtering.DESeqFilter.symmetric_difference<a class="headerlink" href="#rnalysis-filtering-deseqfilter-symmetric-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.symmetric_difference">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.symmetric_difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.symmetric_difference" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a set/string of the WBGene indices that exist either in the first Filter object/set OR the second,         but NOT in both (set symmetric difference).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -269,54 +172,37 @@ <h1>rnalysis.filtering.DESeqFilter.symmetric_difference<a class="headerlink" hre
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.DESeqFilter.tail<a class="headerlink" href="#rnalysis-filtering-deseqfilter-tail" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-tail">
+<h1>rnalysis.filtering.DESeqFilter.tail<a class="headerlink" href="#rnalysis-filtering-deseqfilter-tail" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.tail">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">tail</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.tail" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">tail</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.tail" title="Permalink to this definition"></a></dt>
 <dd><p>Return the last n rows of the Filter object. See pandas.DataFrame.tail documentation.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -277,54 +180,37 @@ <h1>rnalysis.filtering.DESeqFilter.tail<a class="headerlink" href="#rnalysis-fil
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diff --git a/docs/build/rnalysis.filtering.DESeqFilter.text_filters.html b/docs/build/rnalysis.filtering.DESeqFilter.text_filters.html
index 007ac54dc..fefb0250f 100644
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@@ -132,6 +77,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.filter_top_n.html">rnalysis.filtering.DESeqFilter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.head.html">rnalysis.filtering.DESeqFilter.head</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.DESeqFilter.majority_vote_intersection.html">rnalysis.filtering.DESeqFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.DESeqFilter.text_filters<a class="headerlink" href="#rnalysis-filtering-deseqfilter-text-filters" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-text-filters">
+<h1>rnalysis.filtering.DESeqFilter.text_filters<a class="headerlink" href="#rnalysis-filtering-deseqfilter-text-filters" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.text_filters">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">text_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.text_filters" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">text_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.text_filters" title="Permalink to this definition"></a></dt>
 <dd><p>Applay a text filter (equals, contains, starts with, ends with) on a particular column in the Filter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -260,54 +163,37 @@ <h1>rnalysis.filtering.DESeqFilter.text_filters<a class="headerlink" href="#rnal
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-<h1>rnalysis.filtering.DESeqFilter.union<a class="headerlink" href="#rnalysis-filtering-deseqfilter-union" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-union">
+<h1>rnalysis.filtering.DESeqFilter.union<a class="headerlink" href="#rnalysis-filtering-deseqfilter-union" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.union">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.union" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.union" title="Permalink to this definition"></a></dt>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -269,54 +172,37 @@ <h1>rnalysis.filtering.DESeqFilter.union<a class="headerlink" href="#rnalysis-fi
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@@ -132,6 +77,7 @@
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-<h1>rnalysis.filtering.DESeqFilter.volcano_plot<a class="headerlink" href="#rnalysis-filtering-deseqfilter-volcano-plot" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-deseqfilter-volcano-plot">
+<h1>rnalysis.filtering.DESeqFilter.volcano_plot<a class="headerlink" href="#rnalysis-filtering-deseqfilter-volcano-plot" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.DESeqFilter.volcano_plot">
-<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">volcano_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">matplotlib.figure.Figure</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.volcano_plot" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DESeqFilter.</span></span><span class="sig-name descname"><span class="pre">volcano_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">matplotlib.figure.Figure</span></span></span><a class="headerlink" href="#rnalysis.filtering.DESeqFilter.volcano_plot" title="Permalink to this definition"></a></dt>
 <dd><p>Plots a volcano plot (log2(fold change) vs -log10(adj. p-value)) of the DESeqFilter object.         Significantly upregulated features are colored in red,         and significantly downregulated features are colored in blue.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><p><strong>alpha</strong> (<em>float between 0 and 1</em>) – the significance threshold to color data points as significantly up/down-regulated.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id1">
+<div class="figure align-center" id="id1">
 <a class="reference internal image-reference" href="_images/volcano.png"><img alt="_images/volcano.png" src="_images/volcano.png" style="width: 448.0px; height: 333.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of volcano_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of volcano_plot()</span><a class="headerlink" href="#id1" title="Permalink to this image"></a></p>
+</div>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.Filter.biotypes<a class="headerlink" href="#rnalysis-filtering-filter-biotypes" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-biotypes">
+<h1>rnalysis.filtering.Filter.biotypes<a class="headerlink" href="#rnalysis-filtering-filter-biotypes" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.biotypes">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">long_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.biotypes" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">long_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.biotypes" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a DataFrame of the biotypes in the Filter object and their count.
 :type long_format: ‘short’ or ‘long’ (default=’short’)
 :param long_format: ‘short’ returns a short-form DataFrame, which states the biotypes         in the Filter object and their count. ‘long’ returns a long-form DataFrame,
@@ -265,54 +168,37 @@ <h1>rnalysis.filtering.Filter.biotypes<a class="headerlink" href="#rnalysis-filt
 </dl>
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@@ -130,6 +75,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.filter_top_n.html">rnalysis.filtering.Filter.filter_top_n</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.Filter.describe<a class="headerlink" href="#rnalysis-filtering-filter-describe" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-describe">
+<h1>rnalysis.filtering.Filter.describe<a class="headerlink" href="#rnalysis-filtering-filter-describe" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.describe">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">describe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentiles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.01,</span> <span class="pre">0.25,</span> <span class="pre">0.5,</span> <span class="pre">0.75,</span> <span class="pre">0.99)</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.describe" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">describe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentiles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.01,</span> <span class="pre">0.25,</span> <span class="pre">0.5,</span> <span class="pre">0.75,</span> <span class="pre">0.99)</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.describe" title="Permalink to this definition"></a></dt>
 <dd><p>Generate descriptive statistics that summarize the central tendency, dispersion and shape         of the dataset’s distribution, excluding NaN values.         For more information see the documentation of pandas.DataFrame.describe.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -281,54 +184,37 @@ <h1>rnalysis.filtering.Filter.describe<a class="headerlink" href="#rnalysis-filt
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-            
-  <section id="rnalysis-filtering-filter-difference">
-<h1>rnalysis.filtering.Filter.difference<a class="headerlink" href="#rnalysis-filtering-filter-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-difference">
+<h1>rnalysis.filtering.Filter.difference<a class="headerlink" href="#rnalysis-filtering-filter-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.difference">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.difference" title="Permalink to this definition"></a></dt>
 <dd><p>Keep only the features that exist in the first Filter object/set but NOT in the others.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -264,54 +167,37 @@ <h1>rnalysis.filtering.Filter.difference<a class="headerlink" href="#rnalysis-fi
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-<h1>rnalysis.filtering.Filter.filter_biotype<a class="headerlink" href="#rnalysis-filtering-filter-filter-biotype" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-filter-biotype">
+<h1>rnalysis.filtering.Filter.filter_biotype<a class="headerlink" href="#rnalysis-filtering-filter-filter-biotype" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.filter_biotype">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_biotype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_biotype" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_biotype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_biotype" title="Permalink to this definition"></a></dt>
 <dd><p>Filters out all features that do not match the indicated biotype/biotypes.         Legal inputs: ‘protein_coding’,’pseudogene’,’piRNA’,’miRNA’,’ncRNA’,’lincRNA’,’rRNA’,’snRNA’,’snoRNA’.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -260,54 +163,37 @@ <h1>rnalysis.filtering.Filter.filter_biotype<a class="headerlink" href="#rnalysi
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@@ -130,6 +75,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.filter_top_n.html">rnalysis.filtering.Filter.filter_top_n</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html">rnalysis.filtering.Filter.save_csv</a></li>
@@ -155,80 +101,37 @@
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-<h1>rnalysis.filtering.Filter.filter_by_attribute<a class="headerlink" href="#rnalysis-filtering-filter-filter-by-attribute" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-filter-by-attribute">
+<h1>rnalysis.filtering.Filter.filter_by_attribute<a class="headerlink" href="#rnalysis-filtering-filter-filter-by-attribute" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.filter_by_attribute">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'union'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_by_attribute" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'union'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_by_attribute" title="Permalink to this definition"></a></dt>
 <dd><p>Filters features according to user-defined attributes from an Attribute Reference Table.         When multiple attributes are given, filtering can be done in ‘union’ mode         (where features that belong to at least one attribute are not filtered out), or in ‘intersection’ mode         (where only features that belong to ALL attributes are not filtered out).         To learn more about user-defined attributes and Attribute Reference Tables, read the user guide.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -282,54 +185,37 @@ <h1>rnalysis.filtering.Filter.filter_by_attribute<a class="headerlink" href="#rn
 </dl>
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-<h1>rnalysis.filtering.Filter.filter_missing_values<a class="headerlink" href="#rnalysis-filtering-filter-filter-missing-values" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-filter-missing-values">
+<h1>rnalysis.filtering.Filter.filter_missing_values<a class="headerlink" href="#rnalysis-filtering-filter-filter-missing-values" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.filter_missing_values">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_missing_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_missing_values" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_missing_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_missing_values" title="Permalink to this definition"></a></dt>
 <dd><p>Remove all rows whose values in the specified columns are missing (NaN).</p>
 <dl class="field-list simple">
 </dl>
@@ -254,54 +157,37 @@ <h1>rnalysis.filtering.Filter.filter_missing_values<a class="headerlink" href="#
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diff --git a/docs/build/rnalysis.filtering.Filter.filter_percentile.html b/docs/build/rnalysis.filtering.Filter.filter_percentile.html
index d09654d01..0dc2f3990 100644
--- a/docs/build/rnalysis.filtering.Filter.filter_percentile.html
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@@ -130,6 +75,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.filter_top_n.html">rnalysis.filtering.Filter.filter_top_n</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.Filter.filter_percentile<a class="headerlink" href="#rnalysis-filtering-filter-filter-percentile" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-filter-percentile">
+<h1>rnalysis.filtering.Filter.filter_percentile<a class="headerlink" href="#rnalysis-filtering-filter-filter-percentile" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.filter_percentile">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_percentile" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_percentile" title="Permalink to this definition"></a></dt>
 <dd><p>Removes all entries above the specified percentile in the specified column.         For example, if the column were ‘pvalue’ and the percentile was 0.5, then all features whose pvalue is above         the median pvalue will be filtered out.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -260,54 +163,37 @@ <h1>rnalysis.filtering.Filter.filter_percentile<a class="headerlink" href="#rnal
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@@ -130,6 +75,7 @@
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html">rnalysis.filtering.Filter.save_csv</a></li>
@@ -155,80 +101,37 @@
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-<h1>rnalysis.filtering.Filter.filter_top_n<a class="headerlink" href="#rnalysis-filtering-filter-filter-top-n" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-filter-top-n">
+<h1>rnalysis.filtering.Filter.filter_top_n<a class="headerlink" href="#rnalysis-filtering-filter-filter-top-n" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.filter_top_n">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_top_n</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_top_n" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">filter_top_n</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.filter_top_n" title="Permalink to this definition"></a></dt>
 <dd><p>Sort the rows by the values of specified column or columns, then keep only the top ‘n’ rows.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -263,54 +166,37 @@ <h1>rnalysis.filtering.Filter.filter_top_n<a class="headerlink" href="#rnalysis-
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@@ -130,6 +75,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.filter_top_n.html">rnalysis.filtering.Filter.filter_top_n</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">rnalysis.filtering.Filter.head</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.number_filters.html">rnalysis.filtering.Filter.number_filters</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html">rnalysis.filtering.Filter.save_csv</a></li>
@@ -155,80 +101,37 @@
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-  <section id="rnalysis-filtering-filter-head">
-<h1>rnalysis.filtering.Filter.head<a class="headerlink" href="#rnalysis-filtering-filter-head" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-head">
+<h1>rnalysis.filtering.Filter.head<a class="headerlink" href="#rnalysis-filtering-filter-head" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.head">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.head" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.head" title="Permalink to this definition"></a></dt>
 <dd><p>Return the first n rows of the Filter object. See pandas.DataFrame.head documentation.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -264,54 +167,37 @@ <h1>rnalysis.filtering.Filter.head<a class="headerlink" href="#rnalysis-filterin
 </dl>
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 <ul>
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@@ -130,6 +75,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.filter_top_n.html">rnalysis.filtering.Filter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.head.html">rnalysis.filtering.Filter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.intersection.html">rnalysis.filtering.Filter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.number_filters.html">rnalysis.filtering.Filter.number_filters</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.print_features.html">rnalysis.filtering.Filter.print_features</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html">rnalysis.filtering.Filter.save_csv</a></li>
@@ -155,78 +101,36 @@
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-            
-  <section id="rnalysis-filtering-filter">
-<h1>rnalysis.filtering.Filter<a class="headerlink" href="#rnalysis-filtering-filter" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter">
+<h1>rnalysis.filtering.Filter<a class="headerlink" href="#rnalysis-filtering-filter" title="Permalink to this headline"></a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">Filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">Filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter" title="Permalink to this definition"></a></dt>
 <dd><p>An all-purpose Filter object.</p>
 <p><strong>Attributes</strong></p>
 <dl class="simple">
@@ -245,7 +149,7 @@ <h1>rnalysis.filtering.Filter<a class="headerlink" href="#rnalysis-filtering-fil
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.__init__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.__init__" title="Permalink to this definition"></a></dt>
 <dd><dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
@@ -264,7 +168,7 @@ <h1>rnalysis.filtering.Filter<a class="headerlink" href="#rnalysis-filtering-fil
 
 </dd></dl>
 
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
 <colgroup>
 <col style="width: 10%" />
 <col style="width: 90%" />
@@ -300,86 +204,72 @@ <h1>rnalysis.filtering.Filter<a class="headerlink" href="#rnalysis-filtering-fil
 <tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.intersection.html#rnalysis.filtering.Filter.intersection" title="rnalysis.filtering.Filter.intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.intersection</span></code></a>(*others[, return_type, ...])</p></td>
 <td><p>Keep only the features that exist in ALL of the given Filter objects/sets.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.number_filters.html#rnalysis.filtering.Filter.number_filters" title="rnalysis.filtering.Filter.number_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.number_filters</span></code></a>(column, operator, value)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html#rnalysis.filtering.Filter.majority_vote_intersection" title="rnalysis.filtering.Filter.majority_vote_intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.majority_vote_intersection</span></code></a>(*others[, ...])</p></td>
+<td><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.number_filters.html#rnalysis.filtering.Filter.number_filters" title="rnalysis.filtering.Filter.number_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.number_filters</span></code></a>(column, operator, value)</p></td>
 <td><p>Applay a number filter (greater than, equal, lesser than) on a particular column in the Filter object.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.print_features.html#rnalysis.filtering.Filter.print_features" title="rnalysis.filtering.Filter.print_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.print_features</span></code></a>()</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.print_features.html#rnalysis.filtering.Filter.print_features" title="rnalysis.filtering.Filter.print_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.print_features</span></code></a>()</p></td>
 <td><p>Print the feature indices in the Filter object, sorted by their current order in the FIlter object,         and separated by newline.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html#rnalysis.filtering.Filter.save_csv" title="rnalysis.filtering.Filter.save_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.save_csv</span></code></a>([alt_filename])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html#rnalysis.filtering.Filter.save_csv" title="rnalysis.filtering.Filter.save_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.save_csv</span></code></a>([alt_filename])</p></td>
 <td><p>Saves the current filtered data to a .csv file.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.sort.html#rnalysis.filtering.Filter.sort" title="rnalysis.filtering.Filter.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.sort</span></code></a>(by[, ascending, na_position, ...])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.sort.html#rnalysis.filtering.Filter.sort" title="rnalysis.filtering.Filter.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.sort</span></code></a>(by[, ascending, na_position, ...])</p></td>
 <td><p>Sort the rows by the values of specified column or columns.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.split_by_attribute.html#rnalysis.filtering.Filter.split_by_attribute" title="rnalysis.filtering.Filter.split_by_attribute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.split_by_attribute</span></code></a>(attributes[, ref])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.split_by_attribute.html#rnalysis.filtering.Filter.split_by_attribute" title="rnalysis.filtering.Filter.split_by_attribute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.split_by_attribute</span></code></a>(attributes[, ref])</p></td>
 <td><p>Splits the features in the Filter object into multiple Filter objects,         each corresponding to one of the specified Attribute Reference Table attributes.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.split_by_percentile.html#rnalysis.filtering.Filter.split_by_percentile" title="rnalysis.filtering.Filter.split_by_percentile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.split_by_percentile</span></code></a>(percentile, column)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.split_by_percentile.html#rnalysis.filtering.Filter.split_by_percentile" title="rnalysis.filtering.Filter.split_by_percentile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.split_by_percentile</span></code></a>(percentile, column)</p></td>
 <td><p>Splits the features in the Filter object into two non-overlapping Filter objects:         one containing features below the specified percentile in the specfieid column,         and the other containing features about the specified percentile in the specified column.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.symmetric_difference.html#rnalysis.filtering.Filter.symmetric_difference" title="rnalysis.filtering.Filter.symmetric_difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.symmetric_difference</span></code></a>(other[, return_type])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.symmetric_difference.html#rnalysis.filtering.Filter.symmetric_difference" title="rnalysis.filtering.Filter.symmetric_difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.symmetric_difference</span></code></a>(other[, return_type])</p></td>
 <td><p>Returns a set/string of the WBGene indices that exist either in the first Filter object/set OR the second,         but NOT in both (set symmetric difference).</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.tail.html#rnalysis.filtering.Filter.tail" title="rnalysis.filtering.Filter.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.tail</span></code></a>([n])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.tail.html#rnalysis.filtering.Filter.tail" title="rnalysis.filtering.Filter.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.tail</span></code></a>([n])</p></td>
 <td><p>Return the last n rows of the Filter object.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.text_filters.html#rnalysis.filtering.Filter.text_filters" title="rnalysis.filtering.Filter.text_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.text_filters</span></code></a>(column, operator, value)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.text_filters.html#rnalysis.filtering.Filter.text_filters" title="rnalysis.filtering.Filter.text_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.text_filters</span></code></a>(column, operator, value)</p></td>
 <td><p>Applay a text filter (equals, contains, starts with, ends with) on a particular column in the Filter object.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.union.html#rnalysis.filtering.Filter.union" title="rnalysis.filtering.Filter.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.union</span></code></a>(*others[, return_type])</p></td>
-<td><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.Filter.union.html#rnalysis.filtering.Filter.union" title="rnalysis.filtering.Filter.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Filter.union</span></code></a>(*others[, return_type])</p></td>
+<td><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p></td>
 </tr>
 </tbody>
 </table>
-</section>
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@@ -130,6 +75,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
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-            
-  <section id="rnalysis-filtering-filter-intersection">
-<h1>rnalysis.filtering.Filter.intersection<a class="headerlink" href="#rnalysis-filtering-filter-intersection" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-intersection">
+<h1>rnalysis.filtering.Filter.intersection<a class="headerlink" href="#rnalysis-filtering-filter-intersection" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.intersection">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.intersection" title="Permalink to this definition">¶</a></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.intersection" title="Permalink to this definition"></a></dt>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -260,54 +163,37 @@ <h1>rnalysis.filtering.Filter.intersection<a class="headerlink" href="#rnalysis-
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+  <div class="section" id="rnalysis-filtering-filter-majority-vote-intersection">
+<h1>rnalysis.filtering.Filter.majority_vote_intersection<a class="headerlink" href="#rnalysis-filtering-filter-majority-vote-intersection" title="Permalink to this headline"></a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="rnalysis.filtering.Filter.majority_vote_intersection">
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.majority_vote_intersection" title="Permalink to this definition"></a></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
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@@ -130,6 +75,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">rnalysis.filtering.Filter.number_filters</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.print_features.html">rnalysis.filtering.Filter.print_features</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html">rnalysis.filtering.Filter.save_csv</a></li>
@@ -155,80 +101,37 @@
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-<h1>rnalysis.filtering.Filter.number_filters<a class="headerlink" href="#rnalysis-filtering-filter-number-filters" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-number-filters">
+<h1>rnalysis.filtering.Filter.number_filters<a class="headerlink" href="#rnalysis-filtering-filter-number-filters" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.number_filters">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.number_filters" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.number_filters" title="Permalink to this definition"></a></dt>
 <dd><p>Applay a number filter (greater than, equal, lesser than) on a particular column in the Filter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -267,54 +170,37 @@ <h1>rnalysis.filtering.Filter.number_filters<a class="headerlink" href="#rnalysi
 </dl>
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diff --git a/docs/build/rnalysis.filtering.Filter.print_features.html b/docs/build/rnalysis.filtering.Filter.print_features.html
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--- a/docs/build/rnalysis.filtering.Filter.print_features.html
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               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="readme.html">What is <em>RNAlysis?</em></a></li>
@@ -130,6 +75,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.filter_top_n.html">rnalysis.filtering.Filter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.head.html">rnalysis.filtering.Filter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.intersection.html">rnalysis.filtering.Filter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.number_filters.html">rnalysis.filtering.Filter.number_filters</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">rnalysis.filtering.Filter.print_features</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html">rnalysis.filtering.Filter.save_csv</a></li>
@@ -155,80 +101,37 @@
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-            
-  <section id="rnalysis-filtering-filter-print-features">
-<h1>rnalysis.filtering.Filter.print_features<a class="headerlink" href="#rnalysis-filtering-filter-print-features" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-print-features">
+<h1>rnalysis.filtering.Filter.print_features<a class="headerlink" href="#rnalysis-filtering-filter-print-features" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.print_features">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">print_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.print_features" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">print_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.print_features" title="Permalink to this definition"></a></dt>
 <dd><p>Print the feature indices in the Filter object, sorted by their current order in the FIlter object,         and separated by newline.</p>
 <dl class="field-list">
 <dt class="field-odd">Examples</dt>
@@ -264,54 +167,37 @@ <h1>rnalysis.filtering.Filter.print_features<a class="headerlink" href="#rnalysi
 </dl>
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index 5462a2699..0678743e1 100644
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               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
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 <li class="toctree-l1"><a class="reference internal" href="readme.html">What is <em>RNAlysis?</em></a></li>
@@ -130,6 +75,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.filter_top_n.html">rnalysis.filtering.Filter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.head.html">rnalysis.filtering.Filter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.intersection.html">rnalysis.filtering.Filter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.number_filters.html">rnalysis.filtering.Filter.number_filters</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.print_features.html">rnalysis.filtering.Filter.print_features</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">rnalysis.filtering.Filter.save_csv</a></li>
@@ -155,80 +101,37 @@
 <li class="toctree-l1"><a class="reference internal" href="api_reference.html">API Reference</a></li>
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-<h1>rnalysis.filtering.Filter.save_csv<a class="headerlink" href="#rnalysis-filtering-filter-save-csv" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-save-csv">
+<h1>rnalysis.filtering.Filter.save_csv<a class="headerlink" href="#rnalysis-filtering-filter-save-csv" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.save_csv">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">save_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alt_filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.save_csv" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">save_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alt_filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.save_csv" title="Permalink to this definition"></a></dt>
 <dd><p>Saves the current filtered data to a .csv file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -237,54 +140,37 @@ <h1>rnalysis.filtering.Filter.save_csv<a class="headerlink" href="#rnalysis-filt
 </dl>
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+    <p>&#169; Copyright 2021, Guy Teichman.</p>
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diff --git a/docs/build/rnalysis.filtering.Filter.sort.html b/docs/build/rnalysis.filtering.Filter.sort.html
index 2b0e4e9c2..5ab6fac1e 100644
--- a/docs/build/rnalysis.filtering.Filter.sort.html
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+      <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
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               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="readme.html">What is <em>RNAlysis?</em></a></li>
@@ -130,6 +75,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.filter_top_n.html">rnalysis.filtering.Filter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.head.html">rnalysis.filtering.Filter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.intersection.html">rnalysis.filtering.Filter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.number_filters.html">rnalysis.filtering.Filter.number_filters</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.print_features.html">rnalysis.filtering.Filter.print_features</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html">rnalysis.filtering.Filter.save_csv</a></li>
@@ -155,80 +101,37 @@
 <li class="toctree-l1"><a class="reference internal" href="api_reference.html">API Reference</a></li>
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-            
-  <section id="rnalysis-filtering-filter-sort">
-<h1>rnalysis.filtering.Filter.sort<a class="headerlink" href="#rnalysis-filtering-filter-sort" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-sort">
+<h1>rnalysis.filtering.Filter.sort<a class="headerlink" href="#rnalysis-filtering-filter-sort" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.sort">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">sort</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.sort" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">sort</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.sort" title="Permalink to this definition"></a></dt>
 <dd><p>Sort the rows by the values of specified column or columns.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -266,54 +169,37 @@ <h1>rnalysis.filtering.Filter.sort<a class="headerlink" href="#rnalysis-filterin
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diff --git a/docs/build/rnalysis.filtering.Filter.split_by_attribute.html b/docs/build/rnalysis.filtering.Filter.split_by_attribute.html
index df6344dfa..d0abfc041 100644
--- a/docs/build/rnalysis.filtering.Filter.split_by_attribute.html
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-<h1>rnalysis.filtering.Filter.split_by_attribute<a class="headerlink" href="#rnalysis-filtering-filter-split-by-attribute" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-split-by-attribute">
+<h1>rnalysis.filtering.Filter.split_by_attribute<a class="headerlink" href="#rnalysis-filtering-filter-split-by-attribute" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.split_by_attribute">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">split_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.split_by_attribute" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">split_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.split_by_attribute" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the Filter object into multiple Filter objects,         each corresponding to one of the specified Attribute Reference Table attributes.         Each new Filter object will contain only features that belong to its Attribute Reference Table attribute.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -256,54 +159,37 @@ <h1>rnalysis.filtering.Filter.split_by_attribute<a class="headerlink" href="#rna
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@@ -130,6 +75,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-filter-split-by-percentile">
-<h1>rnalysis.filtering.Filter.split_by_percentile<a class="headerlink" href="#rnalysis-filtering-filter-split-by-percentile" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-split-by-percentile">
+<h1>rnalysis.filtering.Filter.split_by_percentile<a class="headerlink" href="#rnalysis-filtering-filter-split-by-percentile" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.split_by_percentile">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">split_by_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.split_by_percentile" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">split_by_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.split_by_percentile" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the Filter object into two non-overlapping Filter objects:         one containing features below the specified percentile in the specfieid column,         and the other containing features about the specified percentile in the specified column.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -255,54 +158,37 @@ <h1>rnalysis.filtering.Filter.split_by_percentile<a class="headerlink" href="#rn
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-<h1>rnalysis.filtering.Filter.symmetric_difference<a class="headerlink" href="#rnalysis-filtering-filter-symmetric-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-symmetric-difference">
+<h1>rnalysis.filtering.Filter.symmetric_difference<a class="headerlink" href="#rnalysis-filtering-filter-symmetric-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.symmetric_difference">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.symmetric_difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.symmetric_difference" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a set/string of the WBGene indices that exist either in the first Filter object/set OR the second,         but NOT in both (set symmetric difference).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -264,54 +167,37 @@ <h1>rnalysis.filtering.Filter.symmetric_difference<a class="headerlink" href="#r
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-filter-tail">
-<h1>rnalysis.filtering.Filter.tail<a class="headerlink" href="#rnalysis-filtering-filter-tail" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-tail">
+<h1>rnalysis.filtering.Filter.tail<a class="headerlink" href="#rnalysis-filtering-filter-tail" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.tail">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">tail</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.tail" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">tail</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.Filter.tail" title="Permalink to this definition"></a></dt>
 <dd><p>Return the last n rows of the Filter object. See pandas.DataFrame.tail documentation.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -272,54 +175,37 @@ <h1>rnalysis.filtering.Filter.tail<a class="headerlink" href="#rnalysis-filterin
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@@ -130,6 +75,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
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@@ -155,80 +101,37 @@
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-<h1>rnalysis.filtering.Filter.text_filters<a class="headerlink" href="#rnalysis-filtering-filter-text-filters" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-text-filters">
+<h1>rnalysis.filtering.Filter.text_filters<a class="headerlink" href="#rnalysis-filtering-filter-text-filters" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.text_filters">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">text_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.text_filters" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">text_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.text_filters" title="Permalink to this definition"></a></dt>
 <dd><p>Applay a text filter (equals, contains, starts with, ends with) on a particular column in the Filter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -255,54 +158,37 @@ <h1>rnalysis.filtering.Filter.text_filters<a class="headerlink" href="#rnalysis-
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 <ul>
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@@ -130,6 +75,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.filter_top_n.html">rnalysis.filtering.Filter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.head.html">rnalysis.filtering.Filter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.intersection.html">rnalysis.filtering.Filter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.majority_vote_intersection.html">rnalysis.filtering.Filter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.number_filters.html">rnalysis.filtering.Filter.number_filters</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.Filter.save_csv.html">rnalysis.filtering.Filter.save_csv</a></li>
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-<h1>rnalysis.filtering.Filter.union<a class="headerlink" href="#rnalysis-filtering-filter-union" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-filter-union">
+<h1>rnalysis.filtering.Filter.union<a class="headerlink" href="#rnalysis-filtering-filter-union" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Filter.union">
-<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.union" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<span class="sig-prename descclassname"><span class="pre">Filter.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Filter.union" title="Permalink to this definition"></a></dt>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -264,54 +167,37 @@ <h1>rnalysis.filtering.Filter.union<a class="headerlink" href="#rnalysis-filteri
 </dl>
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diff --git a/docs/build/rnalysis.filtering.FoldChangeFilter.biotypes.html b/docs/build/rnalysis.filtering.FoldChangeFilter.biotypes.html
index 710c227ad..be571c56c 100644
--- a/docs/build/rnalysis.filtering.FoldChangeFilter.biotypes.html
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@@ -133,6 +78,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.filter_top_n.html">rnalysis.filtering.FoldChangeFilter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.head.html">rnalysis.filtering.FoldChangeFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.intersection.html">rnalysis.filtering.FoldChangeFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.print_features.html">rnalysis.filtering.FoldChangeFilter.print_features</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.randomization_test.html">rnalysis.filtering.FoldChangeFilter.randomization_test</a></li>
@@ -159,80 +105,37 @@
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-            
-  <section id="rnalysis-filtering-foldchangefilter-biotypes">
-<h1>rnalysis.filtering.FoldChangeFilter.biotypes<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-biotypes" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-biotypes">
+<h1>rnalysis.filtering.FoldChangeFilter.biotypes<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-biotypes" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.biotypes">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">long_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.biotypes" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">biotypes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">long_format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.biotypes" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a DataFrame of the biotypes in the Filter object and their count.
 :type long_format: ‘short’ or ‘long’ (default=’short’)
 :param long_format: ‘short’ returns a short-form DataFrame, which states the biotypes         in the Filter object and their count. ‘long’ returns a long-form DataFrame,
@@ -269,54 +172,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.biotypes<a class="headerlink" href="#rna
 </dl>
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diff --git a/docs/build/rnalysis.filtering.FoldChangeFilter.describe.html b/docs/build/rnalysis.filtering.FoldChangeFilter.describe.html
index df30d9e24..0fa95628e 100644
--- a/docs/build/rnalysis.filtering.FoldChangeFilter.describe.html
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@@ -133,6 +78,7 @@
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-<h1>rnalysis.filtering.FoldChangeFilter.describe<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-describe" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-describe">
+<h1>rnalysis.filtering.FoldChangeFilter.describe<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-describe" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.describe">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">describe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentiles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.01,</span> <span class="pre">0.25,</span> <span class="pre">0.5,</span> <span class="pre">0.75,</span> <span class="pre">0.99)</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.describe" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">describe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentiles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.01,</span> <span class="pre">0.25,</span> <span class="pre">0.5,</span> <span class="pre">0.75,</span> <span class="pre">0.99)</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.describe" title="Permalink to this definition"></a></dt>
 <dd><p>Generate descriptive statistics that summarize the central tendency, dispersion and shape         of the dataset’s distribution, excluding NaN values.         For more information see the documentation of pandas.DataFrame.describe.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -285,54 +188,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.describe<a class="headerlink" href="#rna
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@@ -133,6 +78,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.filter_top_n.html">rnalysis.filtering.FoldChangeFilter.filter_top_n</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-foldchangefilter-difference">
-<h1>rnalysis.filtering.FoldChangeFilter.difference<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-difference">
+<h1>rnalysis.filtering.FoldChangeFilter.difference<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.difference">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.difference" title="Permalink to this definition"></a></dt>
 <dd><p>Keep only the features that exist in the first Filter object/set but NOT in the others.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -268,54 +171,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.difference<a class="headerlink" href="#r
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-<h1>rnalysis.filtering.FoldChangeFilter.filter_abs_log2_fold_change<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-abs-log2-fold-change" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-filter-abs-log2-fold-change">
+<h1>rnalysis.filtering.FoldChangeFilter.filter_abs_log2_fold_change<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-abs-log2-fold-change" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.filter_abs_log2_fold_change">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_abs_log2_fold_change</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">abslog2fc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_abs_log2_fold_change" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_abs_log2_fold_change</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">abslog2fc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_abs_log2_fold_change" title="Permalink to this definition"></a></dt>
 <dd><p>Filters out all features whose absolute log2 fold change is below the indicated threshold.         For example: if log2fc is 1.0, all features whose log2 fold change is between 1 and -1 (went up less than         two-fold or went down less than two-fold) will be filtered out.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -256,54 +159,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.filter_abs_log2_fold_change<a class="hea
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diff --git a/docs/build/rnalysis.filtering.FoldChangeFilter.filter_biotype.html b/docs/build/rnalysis.filtering.FoldChangeFilter.filter_biotype.html
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@@ -133,6 +78,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.FoldChangeFilter.filter_biotype<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-biotype" title="Permalink to this headline">¶</a></h1>
+             
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+<h1>rnalysis.filtering.FoldChangeFilter.filter_biotype<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-biotype" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.filter_biotype">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_biotype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_biotype" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_biotype</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">biotype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'protein_coding'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_biotype" title="Permalink to this definition"></a></dt>
 <dd><p>Filters out all features that do not match the indicated biotype/biotypes.         Legal inputs: ‘protein_coding’,’pseudogene’,’piRNA’,’miRNA’,’ncRNA’,’lincRNA’,’rRNA’,’snRNA’,’snoRNA’.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -264,54 +167,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.filter_biotype<a class="headerlink" href
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@@ -133,6 +78,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.FoldChangeFilter.filter_by_attribute<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-by-attribute" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-filter-by-attribute">
+<h1>rnalysis.filtering.FoldChangeFilter.filter_by_attribute<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-by-attribute" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.filter_by_attribute">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'union'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_by_attribute" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'union'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_by_attribute" title="Permalink to this definition"></a></dt>
 <dd><p>Filters features according to user-defined attributes from an Attribute Reference Table.         When multiple attributes are given, filtering can be done in ‘union’ mode         (where features that belong to at least one attribute are not filtered out), or in ‘intersection’ mode         (where only features that belong to ALL attributes are not filtered out).         To learn more about user-defined attributes and Attribute Reference Tables, read the user guide.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -286,54 +189,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.filter_by_attribute<a class="headerlink"
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-<h1>rnalysis.filtering.FoldChangeFilter.filter_fold_change_direction<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-fold-change-direction" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-filter-fold-change-direction">
+<h1>rnalysis.filtering.FoldChangeFilter.filter_fold_change_direction<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-fold-change-direction" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.filter_fold_change_direction">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_fold_change_direction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">direction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'pos'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_fold_change_direction" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_fold_change_direction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">direction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'pos'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_fold_change_direction" title="Permalink to this definition"></a></dt>
 <dd><p>Filters out features according to the direction in which they changed between the two conditions.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -269,54 +172,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.filter_fold_change_direction<a class="he
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@@ -133,6 +78,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.filter_top_n.html">rnalysis.filtering.FoldChangeFilter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.head.html">rnalysis.filtering.FoldChangeFilter.head</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-foldchangefilter-filter-missing-values">
-<h1>rnalysis.filtering.FoldChangeFilter.filter_missing_values<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-missing-values" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-filter-missing-values">
+<h1>rnalysis.filtering.FoldChangeFilter.filter_missing_values<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-missing-values" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.filter_missing_values">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_missing_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_missing_values" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_missing_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_missing_values" title="Permalink to this definition"></a></dt>
 <dd><p>Remove all rows whose values in the specified columns are missing (NaN).</p>
 <dl class="field-list simple">
 </dl>
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-<h1>rnalysis.filtering.FoldChangeFilter.filter_percentile<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-percentile" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-filter-percentile">
+<h1>rnalysis.filtering.FoldChangeFilter.filter_percentile<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-percentile" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.filter_percentile">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_percentile" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_percentile" title="Permalink to this definition"></a></dt>
 <dd><p>Removes all entries above the specified percentile in the specified column.         For example, if the column were ‘pvalue’ and the percentile was 0.5, then all features whose pvalue is above         the median pvalue will be filtered out.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -264,54 +167,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.filter_percentile<a class="headerlink" h
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diff --git a/docs/build/rnalysis.filtering.FoldChangeFilter.filter_top_n.html b/docs/build/rnalysis.filtering.FoldChangeFilter.filter_top_n.html
index 29c3f4a56..194379e26 100644
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@@ -133,6 +78,7 @@
 <li class="toctree-l3 current"><a class="current reference internal" href="#">rnalysis.filtering.FoldChangeFilter.filter_top_n</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.FoldChangeFilter.filter_top_n<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-top-n" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-filter-top-n">
+<h1>rnalysis.filtering.FoldChangeFilter.filter_top_n<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-filter-top-n" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.filter_top_n">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_top_n</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_top_n" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">filter_top_n</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.filter_top_n" title="Permalink to this definition"></a></dt>
 <dd><p>Sort the rows by the values of specified column or columns, then keep only the top ‘n’ rows.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -267,54 +170,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.filter_top_n<a class="headerlink" href="
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@@ -133,6 +78,7 @@
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 <li class="toctree-l3 current"><a class="current reference internal" href="#">rnalysis.filtering.FoldChangeFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.intersection.html">rnalysis.filtering.FoldChangeFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.print_features.html">rnalysis.filtering.FoldChangeFilter.print_features</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.randomization_test.html">rnalysis.filtering.FoldChangeFilter.randomization_test</a></li>
@@ -159,80 +105,37 @@
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-<h1>rnalysis.filtering.FoldChangeFilter.head<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-head" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-head">
+<h1>rnalysis.filtering.FoldChangeFilter.head<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-head" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.head">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.head" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.head" title="Permalink to this definition"></a></dt>
 <dd><p>Return the first n rows of the Filter object. See pandas.DataFrame.head documentation.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -268,54 +171,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.head<a class="headerlink" href="#rnalysi
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@@ -133,6 +78,7 @@
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 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.intersection.html">rnalysis.filtering.FoldChangeFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-foldchangefilter">
-<h1>rnalysis.filtering.FoldChangeFilter<a class="headerlink" href="#rnalysis-filtering-foldchangefilter" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter">
+<h1>rnalysis.filtering.FoldChangeFilter<a class="headerlink" href="#rnalysis-filtering-foldchangefilter" title="Permalink to this headline"></a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">FoldChangeFilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numerator_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denominator_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">FoldChangeFilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numerator_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denominator_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter" title="Permalink to this definition"></a></dt>
 <dd><dl class="simple">
 <dt>A class that contains a single column, representing the gene-specific fold change between two conditions. </dt><dd><p>this class does not support ‘inf’ and ‘0’ values, and importing a file with such values could lead     to incorrect filtering and statistical analyses.</p>
 </dd>
@@ -256,7 +160,7 @@ <h1>rnalysis.filtering.FoldChangeFilter<a class="headerlink" href="#rnalysis-fil
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numerator_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denominator_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.__init__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numerator_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denominator_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.__init__" title="Permalink to this definition"></a></dt>
 <dd><dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
@@ -275,7 +179,7 @@ <h1>rnalysis.filtering.FoldChangeFilter<a class="headerlink" href="#rnalysis-fil
 
 </dd></dl>
 
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
 <colgroup>
 <col style="width: 10%" />
 <col style="width: 90%" />
@@ -317,92 +221,78 @@ <h1>rnalysis.filtering.FoldChangeFilter<a class="headerlink" href="#rnalysis-fil
 <tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.intersection.html#rnalysis.filtering.FoldChangeFilter.intersection" title="rnalysis.filtering.FoldChangeFilter.intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.intersection</span></code></a>(*others[, ...])</p></td>
 <td><p>Keep only the features that exist in ALL of the given Filter objects/sets.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.number_filters.html#rnalysis.filtering.FoldChangeFilter.number_filters" title="rnalysis.filtering.FoldChangeFilter.number_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.number_filters</span></code></a>(column, ...)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html#rnalysis.filtering.FoldChangeFilter.majority_vote_intersection" title="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.majority_vote_intersection</span></code></a>(*others)</p></td>
+<td><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.number_filters.html#rnalysis.filtering.FoldChangeFilter.number_filters" title="rnalysis.filtering.FoldChangeFilter.number_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.number_filters</span></code></a>(column, ...)</p></td>
 <td><p>Applay a number filter (greater than, equal, lesser than) on a particular column in the Filter object.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.print_features.html#rnalysis.filtering.FoldChangeFilter.print_features" title="rnalysis.filtering.FoldChangeFilter.print_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.print_features</span></code></a>()</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.print_features.html#rnalysis.filtering.FoldChangeFilter.print_features" title="rnalysis.filtering.FoldChangeFilter.print_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.print_features</span></code></a>()</p></td>
 <td><p>Print the feature indices in the Filter object, sorted by their current order in the FIlter object,         and separated by newline.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.randomization_test.html#rnalysis.filtering.FoldChangeFilter.randomization_test" title="rnalysis.filtering.FoldChangeFilter.randomization_test"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.randomization_test</span></code></a>(ref[, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.randomization_test.html#rnalysis.filtering.FoldChangeFilter.randomization_test" title="rnalysis.filtering.FoldChangeFilter.randomization_test"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.randomization_test</span></code></a>(ref[, ...])</p></td>
 <td><p>Perform a randomization test to examine whether the fold change of a group of specific genomic features         is significantly different than the fold change of a background set of genomic features.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.save_csv.html#rnalysis.filtering.FoldChangeFilter.save_csv" title="rnalysis.filtering.FoldChangeFilter.save_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.save_csv</span></code></a>([alt_filename])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.save_csv.html#rnalysis.filtering.FoldChangeFilter.save_csv" title="rnalysis.filtering.FoldChangeFilter.save_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.save_csv</span></code></a>([alt_filename])</p></td>
 <td><p>Saves the current filtered data to a .csv file.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.sort.html#rnalysis.filtering.FoldChangeFilter.sort" title="rnalysis.filtering.FoldChangeFilter.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.sort</span></code></a>(by[, ascending, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.sort.html#rnalysis.filtering.FoldChangeFilter.sort" title="rnalysis.filtering.FoldChangeFilter.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.sort</span></code></a>(by[, ascending, ...])</p></td>
 <td><p>Sort the rows by the values of specified column or columns.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.split_by_attribute.html#rnalysis.filtering.FoldChangeFilter.split_by_attribute" title="rnalysis.filtering.FoldChangeFilter.split_by_attribute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.split_by_attribute</span></code></a>(attributes)</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.split_by_attribute.html#rnalysis.filtering.FoldChangeFilter.split_by_attribute" title="rnalysis.filtering.FoldChangeFilter.split_by_attribute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.split_by_attribute</span></code></a>(attributes)</p></td>
 <td><p>Splits the features in the Filter object into multiple Filter objects,         each corresponding to one of the specified Attribute Reference Table attributes.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.split_by_percentile.html#rnalysis.filtering.FoldChangeFilter.split_by_percentile" title="rnalysis.filtering.FoldChangeFilter.split_by_percentile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.split_by_percentile</span></code></a>(...)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.split_by_percentile.html#rnalysis.filtering.FoldChangeFilter.split_by_percentile" title="rnalysis.filtering.FoldChangeFilter.split_by_percentile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.split_by_percentile</span></code></a>(...)</p></td>
 <td><p>Splits the features in the Filter object into two non-overlapping Filter objects:         one containing features below the specified percentile in the specfieid column,         and the other containing features about the specified percentile in the specified column.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.split_fold_change_direction.html#rnalysis.filtering.FoldChangeFilter.split_fold_change_direction" title="rnalysis.filtering.FoldChangeFilter.split_fold_change_direction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.split_fold_change_direction</span></code></a>()</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.split_fold_change_direction.html#rnalysis.filtering.FoldChangeFilter.split_fold_change_direction" title="rnalysis.filtering.FoldChangeFilter.split_fold_change_direction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.split_fold_change_direction</span></code></a>()</p></td>
 <td><p>Splits the features in the FoldChangeFilter object into two non-overlapping         FoldChangeFilter objects, based on the direction of their log2(fold change).</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.symmetric_difference.html#rnalysis.filtering.FoldChangeFilter.symmetric_difference" title="rnalysis.filtering.FoldChangeFilter.symmetric_difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.symmetric_difference</span></code></a>(other)</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.symmetric_difference.html#rnalysis.filtering.FoldChangeFilter.symmetric_difference" title="rnalysis.filtering.FoldChangeFilter.symmetric_difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.symmetric_difference</span></code></a>(other)</p></td>
 <td><p>Returns a set/string of the WBGene indices that exist either in the first Filter object/set OR the second,         but NOT in both (set symmetric difference).</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.tail.html#rnalysis.filtering.FoldChangeFilter.tail" title="rnalysis.filtering.FoldChangeFilter.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.tail</span></code></a>([n])</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.tail.html#rnalysis.filtering.FoldChangeFilter.tail" title="rnalysis.filtering.FoldChangeFilter.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.tail</span></code></a>([n])</p></td>
 <td><p>Return the last n rows of the Filter object.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.text_filters.html#rnalysis.filtering.FoldChangeFilter.text_filters" title="rnalysis.filtering.FoldChangeFilter.text_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.text_filters</span></code></a>(column, ...[, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.text_filters.html#rnalysis.filtering.FoldChangeFilter.text_filters" title="rnalysis.filtering.FoldChangeFilter.text_filters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.text_filters</span></code></a>(column, ...[, ...])</p></td>
 <td><p>Applay a text filter (equals, contains, starts with, ends with) on a particular column in the Filter object.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.union.html#rnalysis.filtering.FoldChangeFilter.union" title="rnalysis.filtering.FoldChangeFilter.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.union</span></code></a>(*others[, return_type])</p></td>
-<td><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.union.html#rnalysis.filtering.FoldChangeFilter.union" title="rnalysis.filtering.FoldChangeFilter.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FoldChangeFilter.union</span></code></a>(*others[, return_type])</p></td>
+<td><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p></td>
 </tr>
 </tbody>
 </table>
-</section>
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-            
-  <section id="rnalysis-filtering-foldchangefilter-intersection">
-<h1>rnalysis.filtering.FoldChangeFilter.intersection<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-intersection" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-intersection">
+<h1>rnalysis.filtering.FoldChangeFilter.intersection<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-intersection" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.intersection">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.intersection" title="Permalink to this definition">¶</a></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.intersection" title="Permalink to this definition"></a></dt>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -264,54 +167,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.intersection<a class="headerlink" href="
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+  <div class="section" id="rnalysis-filtering-foldchangefilter-majority-vote-intersection">
+<h1>rnalysis.filtering.FoldChangeFilter.majority_vote_intersection<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-majority-vote-intersection" title="Permalink to this headline"></a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection">
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.majority_vote_intersection" title="Permalink to this definition"></a></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
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-<h1>rnalysis.filtering.FoldChangeFilter.number_filters<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-number-filters" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-number-filters">
+<h1>rnalysis.filtering.FoldChangeFilter.number_filters<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-number-filters" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.number_filters">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.number_filters" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.number_filters" title="Permalink to this definition"></a></dt>
 <dd><p>Applay a number filter (greater than, equal, lesser than) on a particular column in the Filter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -271,54 +174,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.number_filters<a class="headerlink" href
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diff --git a/docs/build/rnalysis.filtering.FoldChangeFilter.print_features.html b/docs/build/rnalysis.filtering.FoldChangeFilter.print_features.html
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-<h1>rnalysis.filtering.FoldChangeFilter.print_features<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-print-features" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-print-features">
+<h1>rnalysis.filtering.FoldChangeFilter.print_features<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-print-features" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.print_features">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">print_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.print_features" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">print_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.print_features" title="Permalink to this definition"></a></dt>
 <dd><p>Print the feature indices in the Filter object, sorted by their current order in the FIlter object,         and separated by newline.</p>
 <dl class="field-list">
 <dt class="field-odd">Examples</dt>
@@ -268,54 +171,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.print_features<a class="headerlink" href
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@@ -133,6 +78,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.FoldChangeFilter.randomization_test<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-randomization-test" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-randomization-test">
+<h1>rnalysis.filtering.FoldChangeFilter.randomization_test<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-randomization-test" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.randomization_test">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">randomization_test</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.randomization_test" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">randomization_test</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_csv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fname</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.randomization_test" title="Permalink to this definition"></a></dt>
 <dd><p>Perform a randomization test to examine whether the fold change of a group of specific genomic features         is significantly different than the fold change of a background set of genomic features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -268,54 +171,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.randomization_test<a class="headerlink"
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index f15bab658..82efbe0d2 100644
--- a/docs/build/rnalysis.filtering.FoldChangeFilter.save_csv.html
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@@ -133,6 +78,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.filter_top_n.html">rnalysis.filtering.FoldChangeFilter.filter_top_n</a></li>
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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-<h1>rnalysis.filtering.FoldChangeFilter.save_csv<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-save-csv" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-save-csv">
+<h1>rnalysis.filtering.FoldChangeFilter.save_csv<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-save-csv" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.save_csv">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">save_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alt_filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.save_csv" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">save_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">alt_filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.save_csv" title="Permalink to this definition"></a></dt>
 <dd><p>Saves the current filtered data to a .csv file.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -241,54 +144,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.save_csv<a class="headerlink" href="#rna
 </dl>
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diff --git a/docs/build/rnalysis.filtering.FoldChangeFilter.sort.html b/docs/build/rnalysis.filtering.FoldChangeFilter.sort.html
index c1ed02462..12865c828 100644
--- a/docs/build/rnalysis.filtering.FoldChangeFilter.sort.html
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 <ul>
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@@ -133,6 +78,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.filter_top_n.html">rnalysis.filtering.FoldChangeFilter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.head.html">rnalysis.filtering.FoldChangeFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.intersection.html">rnalysis.filtering.FoldChangeFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.number_filters.html">rnalysis.filtering.FoldChangeFilter.number_filters</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.print_features.html">rnalysis.filtering.FoldChangeFilter.print_features</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.randomization_test.html">rnalysis.filtering.FoldChangeFilter.randomization_test</a></li>
@@ -159,80 +105,37 @@
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-<h1>rnalysis.filtering.FoldChangeFilter.sort<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-sort" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-sort">
+<h1>rnalysis.filtering.FoldChangeFilter.sort<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-sort" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.sort">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">sort</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.sort" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">sort</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">na_position</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'last'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.sort" title="Permalink to this definition"></a></dt>
 <dd><p>Sort the rows by the values of specified column or columns.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -270,54 +173,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.sort<a class="headerlink" href="#rnalysi
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@@ -133,6 +78,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.filter_top_n.html">rnalysis.filtering.FoldChangeFilter.filter_top_n</a></li>
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-  <section id="rnalysis-filtering-foldchangefilter-split-by-attribute">
-<h1>rnalysis.filtering.FoldChangeFilter.split_by_attribute<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-split-by-attribute" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-split-by-attribute">
+<h1>rnalysis.filtering.FoldChangeFilter.split_by_attribute<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-split-by-attribute" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.split_by_attribute">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.split_by_attribute" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_attribute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attributes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'predefined'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.split_by_attribute" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the Filter object into multiple Filter objects,         each corresponding to one of the specified Attribute Reference Table attributes.         Each new Filter object will contain only features that belong to its Attribute Reference Table attribute.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -260,54 +163,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.split_by_attribute<a class="headerlink"
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diff --git a/docs/build/rnalysis.filtering.FoldChangeFilter.split_by_percentile.html b/docs/build/rnalysis.filtering.FoldChangeFilter.split_by_percentile.html
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--- a/docs/build/rnalysis.filtering.FoldChangeFilter.split_by_percentile.html
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-<h1>rnalysis.filtering.FoldChangeFilter.split_by_percentile<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-split-by-percentile" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-split-by-percentile">
+<h1>rnalysis.filtering.FoldChangeFilter.split_by_percentile<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-split-by-percentile" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.split_by_percentile">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.split_by_percentile" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">split_by_percentile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.split_by_percentile" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the Filter object into two non-overlapping Filter objects:         one containing features below the specified percentile in the specfieid column,         and the other containing features about the specified percentile in the specified column.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -259,54 +162,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.split_by_percentile<a class="headerlink"
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diff --git a/docs/build/rnalysis.filtering.FoldChangeFilter.split_fold_change_direction.html b/docs/build/rnalysis.filtering.FoldChangeFilter.split_fold_change_direction.html
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@@ -133,6 +78,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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-  <section id="rnalysis-filtering-foldchangefilter-split-fold-change-direction">
-<h1>rnalysis.filtering.FoldChangeFilter.split_fold_change_direction<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-split-fold-change-direction" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-split-fold-change-direction">
+<h1>rnalysis.filtering.FoldChangeFilter.split_fold_change_direction<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-split-fold-change-direction" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.split_fold_change_direction">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">split_fold_change_direction</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.split_fold_change_direction" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">split_fold_change_direction</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tuple</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.split_fold_change_direction" title="Permalink to this definition"></a></dt>
 <dd><p>Splits the features in the FoldChangeFilter object into two non-overlapping         FoldChangeFilter objects, based on the direction of their log2(fold change).         The first object will contain only features with a positive log2(fold change),         the second object will contain only features with a negative log2(fold change).         Features with log2(fold change) = 0 will be ignored.</p>
 <dl class="field-list">
 <dt class="field-odd">Return type</dt>
@@ -253,54 +156,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.split_fold_change_direction<a class="hea
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-<h1>rnalysis.filtering.FoldChangeFilter.symmetric_difference<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-symmetric-difference" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-symmetric-difference">
+<h1>rnalysis.filtering.FoldChangeFilter.symmetric_difference<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-symmetric-difference" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.symmetric_difference">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.symmetric_difference" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">symmetric_difference</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.symmetric_difference" title="Permalink to this definition"></a></dt>
 <dd><p>Returns a set/string of the WBGene indices that exist either in the first Filter object/set OR the second,         but NOT in both (set symmetric difference).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -268,54 +171,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.symmetric_difference<a class="headerlink
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@@ -133,6 +78,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
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@@ -159,80 +105,37 @@
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-<h1>rnalysis.filtering.FoldChangeFilter.tail<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-tail" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-tail">
+<h1>rnalysis.filtering.FoldChangeFilter.tail<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-tail" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.tail">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">tail</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.tail" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">tail</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.tail" title="Permalink to this definition"></a></dt>
 <dd><p>Return the last n rows of the Filter object. See pandas.DataFrame.tail documentation.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -276,54 +179,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.tail<a class="headerlink" href="#rnalysi
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-<h1>rnalysis.filtering.FoldChangeFilter.text_filters<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-text-filters" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-text-filters">
+<h1>rnalysis.filtering.FoldChangeFilter.text_filters<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-text-filters" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.text_filters">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">text_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.text_filters" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">text_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.text_filters" title="Permalink to this definition"></a></dt>
 <dd><p>Applay a text filter (equals, contains, starts with, ends with) on a particular column in the Filter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -259,54 +162,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.text_filters<a class="headerlink" href="
 </dl>
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diff --git a/docs/build/rnalysis.filtering.FoldChangeFilter.union.html b/docs/build/rnalysis.filtering.FoldChangeFilter.union.html
index 345ec4355..07f020c45 100644
--- a/docs/build/rnalysis.filtering.FoldChangeFilter.union.html
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               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
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@@ -133,6 +78,7 @@
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.filter_top_n.html">rnalysis.filtering.FoldChangeFilter.filter_top_n</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.head.html">rnalysis.filtering.FoldChangeFilter.head</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.intersection.html">rnalysis.filtering.FoldChangeFilter.intersection</a></li>
+<li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.html">rnalysis.filtering.FoldChangeFilter.majority_vote_intersection</a></li>
 <li class="toctree-l3"><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.number_filters.html">rnalysis.filtering.FoldChangeFilter.number_filters</a></li>
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@@ -159,86 +105,43 @@
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-            
-  <section id="rnalysis-filtering-foldchangefilter-union">
-<h1>rnalysis.filtering.FoldChangeFilter.union<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-union" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-foldchangefilter-union">
+<h1>rnalysis.filtering.FoldChangeFilter.union<a class="headerlink" href="#rnalysis-filtering-foldchangefilter-union" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.FoldChangeFilter.union">
-<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.union" title="Permalink to this definition">¶</a></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<span class="sig-prename descclassname"><span class="pre">FoldChangeFilter.</span></span><span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.FoldChangeFilter.union" title="Permalink to this definition"></a></dt>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -268,54 +171,37 @@ <h1>rnalysis.filtering.FoldChangeFilter.union<a class="headerlink" href="#rnalys
 </dl>
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-<h1>rnalysis.filtering.Pipeline.add_function<a class="headerlink" href="#rnalysis-filtering-pipeline-add-function" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-pipeline-add-function">
+<h1>rnalysis.filtering.Pipeline.add_function<a class="headerlink" href="#rnalysis-filtering-pipeline-add-function" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Pipeline.add_function">
-<span class="sig-prename descclassname"><span class="pre">Pipeline.</span></span><span class="sig-name descname"><span class="pre">add_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">function</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Pipeline.add_function" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Pipeline.</span></span><span class="sig-name descname"><span class="pre">add_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">function</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Pipeline.add_function" title="Permalink to this definition"></a></dt>
 <dd><p>Add a function to the pipeline. Arguments can be stated with or without the correspoding keywords.         For example: Pipeline.add_function(‘sort’, ‘columnName’, ascending=False, na_position=’first’).         Pipelines support virtually all functions in the filtering module, including         filtering functions, normalization functions, splitting functions and plotting functions.         Do not include the ‘inplace’ argument when adding functions to a pipeline; instead,         include it when applying the pipeline to a Filter object using Pipeline.apply_to(). 
 :param func: function to be added
 :type func: function or name of function from the filtering module
@@ -231,54 +133,37 @@ <h1>rnalysis.filtering.Pipeline.add_function<a class="headerlink" href="#rnalysi
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 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Pipeline.apply_to">
-<span class="sig-prename descclassname"><span class="pre">Pipeline.</span></span><span class="sig-name descname"><span class="pre">apply_to</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_object</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.DESeqFilter.html#rnalysis.filtering.DESeqFilter" title="rnalysis.filtering.DESeqFilter"><span class="pre">rnalysis.filtering.DESeqFilter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.html#rnalysis.filtering.FoldChangeFilter" title="rnalysis.filtering.FoldChangeFilter"><span class="pre">rnalysis.filtering.FoldChangeFilter</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.Pipeline.apply_to" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Pipeline.</span></span><span class="sig-name descname"><span class="pre">apply_to</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_object</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.CountFilter.html#rnalysis.filtering.CountFilter" title="rnalysis.filtering.CountFilter"><span class="pre">rnalysis.filtering.CountFilter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.DESeqFilter.html#rnalysis.filtering.DESeqFilter" title="rnalysis.filtering.DESeqFilter"><span class="pre">rnalysis.filtering.DESeqFilter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.FoldChangeFilter.html#rnalysis.filtering.FoldChangeFilter" title="rnalysis.filtering.FoldChangeFilter"><span class="pre">rnalysis.filtering.FoldChangeFilter</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#rnalysis.filtering.Pipeline.apply_to" title="Permalink to this definition"></a></dt>
 <dd><p>Sequentially apply all functions in the Pipeline to a given Filter object.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
@@ -254,54 +156,37 @@ <h1>rnalysis.filtering.Pipeline.apply_to<a class="headerlink" href="#rnalysis-fi
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-  <section id="rnalysis-filtering-pipeline">
-<h1>rnalysis.filtering.Pipeline<a class="headerlink" href="#rnalysis-filtering-pipeline" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-filtering-pipeline">
+<h1>rnalysis.filtering.Pipeline<a class="headerlink" href="#rnalysis-filtering-pipeline" title="Permalink to this headline"></a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="rnalysis.filtering.Pipeline">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">Pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_type:</span> <span class="pre">Union[str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.Filter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.CountFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.DESeqFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.FoldChangeFilter]</span> <span class="pre">=</span> <span class="pre">&lt;class</span> <span class="pre">'rnalysis.filtering.Filter'&gt;</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Pipeline" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">Pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_type:</span> <span class="pre">typing.Union[str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.Filter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.CountFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.DESeqFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.FoldChangeFilter]</span> <span class="pre">=</span> <span class="pre">&lt;class</span> <span class="pre">'rnalysis.filtering.Filter'&gt;</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Pipeline" title="Permalink to this definition"></a></dt>
 <dd><p>A collection of functions to be applied sequentially to Filter objects.</p>
 <p><strong>Attributes</strong></p>
 <dl class="simple">
@@ -222,7 +125,7 @@ <h1>rnalysis.filtering.Pipeline<a class="headerlink" href="#rnalysis-filtering-p
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Pipeline.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_type:</span> <span class="pre">Union[str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.Filter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.CountFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.DESeqFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.FoldChangeFilter]</span> <span class="pre">=</span> <span class="pre">&lt;class</span> <span class="pre">'rnalysis.filtering.Filter'&gt;</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Pipeline.__init__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_type:</span> <span class="pre">typing.Union[str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.Filter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.CountFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.DESeqFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.FoldChangeFilter]</span> <span class="pre">=</span> <span class="pre">&lt;class</span> <span class="pre">'rnalysis.filtering.Filter'&gt;</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Pipeline.__init__" title="Permalink to this definition"></a></dt>
 <dd><dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><p><strong>filter_type</strong> (<em>str</em><em> or </em><em>Filter object</em><em> (</em><em>default=filtering.Filter</em><em>)</em>) – the type of Filter object the Pipeline can be applied to.</p>
@@ -239,7 +142,7 @@ <h1>rnalysis.filtering.Pipeline<a class="headerlink" href="#rnalysis-filtering-p
 
 </dd></dl>
 
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
 <colgroup>
 <col style="width: 10%" />
 <col style="width: 90%" />
@@ -256,54 +159,37 @@ <h1>rnalysis.filtering.Pipeline<a class="headerlink" href="#rnalysis-filtering-p
 </tr>
 </tbody>
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diff --git a/docs/build/rnalysis.filtering.Pipeline.remove_last_function.html b/docs/build/rnalysis.filtering.Pipeline.remove_last_function.html
index d1791bd23..9f213f8bb 100644
--- a/docs/build/rnalysis.filtering.Pipeline.remove_last_function.html
+++ b/docs/build/rnalysis.filtering.Pipeline.remove_last_function.html
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+             
+  <div class="section" id="rnalysis-filtering-pipeline-remove-last-function">
+<h1>rnalysis.filtering.Pipeline.remove_last_function<a class="headerlink" href="#rnalysis-filtering-pipeline-remove-last-function" title="Permalink to this headline"></a></h1>
 <dl class="py method">
 <dt class="sig sig-object py" id="rnalysis.filtering.Pipeline.remove_last_function">
-<span class="sig-prename descclassname"><span class="pre">Pipeline.</span></span><span class="sig-name descname"><span class="pre">remove_last_function</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Pipeline.remove_last_function" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Pipeline.</span></span><span class="sig-name descname"><span class="pre">remove_last_function</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.filtering.Pipeline.remove_last_function" title="Permalink to this definition"></a></dt>
 <dd><p>Removes from the Pipeline the last function that was added to it. Removal is in-place.</p>
 <dl class="field-list">
 <dt class="field-odd">Examples</dt>
@@ -227,54 +129,37 @@ <h1>rnalysis.filtering.Pipeline.remove_last_function<a class="headerlink" href="
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+             
+  <div class="section" id="rnalysis-filtering">
+<h1>rnalysis.filtering<a class="headerlink" href="#rnalysis-filtering" title="Permalink to this headline"></a></h1>
 <p class="rubric">Description</p>
 <span class="target" id="module-rnalysis.filtering"></span><p>This module can filter, normalize, intersect and visualize tabular data such as read counts and differential expression data.
 Any tabular data saved in a csv format can be imported. Use this module to perform various filtering operations on your data,  normalize your data, perform set operations (union, intersection, etc), run basic exploratory analyses and plots (such as PCA, clustergram, violin plots, scatter, etc), save the filtered data to your computer, and more.
 When you save filtered/modified data, its new file name will include by default  all of the operations performed on it, in the order they were performed, to allow easy traceback of your analyses.</p>
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@@ -228,54 +132,37 @@ <h1>rnalysis.filtering<a class="headerlink" href="#rnalysis-filtering" title="Pe
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+<h1>rnalysis.general<a class="headerlink" href="#rnalysis-general" title="Permalink to this headline"></a></h1>
 <p class="rubric">Description</p>
 <span class="target" id="module-rnalysis.general"></span><p>This module contains general-purpose functions. Those include saving Filter objects and result tables, reading and updating the settings file, parsing common types of genomic feature indices, etc.</p>
 <p class="rubric">Functions</p>
-<table class="longtable docutils align-default">
+<table class="autosummary longtable docutils align-default">
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@@ -238,54 +142,37 @@ <h1>rnalysis.general<a class="headerlink" href="#rnalysis-general" title="Permal
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-            
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-<h1>rnalysis.general.parse_gene_name_string<a class="headerlink" href="#rnalysis-general-parse-gene-name-string" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-general-parse-gene-name-string">
+<h1>rnalysis.general.parse_gene_name_string<a class="headerlink" href="#rnalysis-general-parse-gene-name-string" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.general.parse_gene_name_string">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">parse_gene_name_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.parse_gene_name_string" title="Permalink to this definition">¶</a></dt>
-<dd><p>Receives a string that contains gene names (like ‘daf-2’ or ‘lin15B’).     Parses the string into a set of gene names.     The format of a gene name is a sequence consisting of the expression     ‘[a-z]{3,4}’, the character ‘-’, and the expression ‘[A-Z,0-9]{1,4}’.
+<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">parse_gene_name_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.parse_gene_name_string" title="Permalink to this definition"></a></dt>
+<dd><p>Receives a string that contains gene names (like ‘daf-2’ or ‘lin15B’).     Parses the string into a set of gene names.     The format of a gene name is a sequence consisting of the expression     ‘[a-z]{3,4}’, the character ‘-‘, and the expression ‘[A-Z,0-9]{1,4}’.
 :type string: str
 :param string: The string to be parsed. Can be any format of string.
 :return:
@@ -226,54 +129,37 @@ <h1>rnalysis.general.parse_gene_name_string<a class="headerlink" href="#rnalysis
 </div>
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-<h1>rnalysis.general.parse_sequence_name_string<a class="headerlink" href="#rnalysis-general-parse-sequence-name-string" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-general-parse-sequence-name-string">
+<h1>rnalysis.general.parse_sequence_name_string<a class="headerlink" href="#rnalysis-general-parse-sequence-name-string" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.general.parse_sequence_name_string">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">parse_sequence_name_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.parse_sequence_name_string" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">parse_sequence_name_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.parse_sequence_name_string" title="Permalink to this definition"></a></dt>
 <dd><p>Receives a string that contains sequence names (such as ‘Y55D5A.5’).     Parses the string into a set of WBGene indices.     The format of a sequence name is a sequence consisting of the expression ‘[A-Z,0-9]{5,6}’,     the character ‘.’, and a digit.
 :type string: str
 :param string: The string to be parsed. Can be any format of string.
@@ -226,54 +129,37 @@ <h1>rnalysis.general.parse_sequence_name_string<a class="headerlink" href="#rnal
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--- a/docs/build/rnalysis.general.parse_wbgene_string.html
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-<h1>rnalysis.general.parse_wbgene_string<a class="headerlink" href="#rnalysis-general-parse-wbgene-string" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-general-parse-wbgene-string">
+<h1>rnalysis.general.parse_wbgene_string<a class="headerlink" href="#rnalysis-general-parse-wbgene-string" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.general.parse_wbgene_string">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">parse_wbgene_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.parse_wbgene_string" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">parse_wbgene_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.parse_wbgene_string" title="Permalink to this definition"></a></dt>
 <dd><p>Receives a string that contains WBGene indices. Parses the string into a set of WBGene indices.     The format of a WBGene index is ‘WBGene’ and exactly 8 digits.
 :type string: str
 :param string: The string to be parsed. Can be any format of string.
@@ -227,54 +130,37 @@ <h1>rnalysis.general.parse_wbgene_string<a class="headerlink" href="#rnalysis-ge
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-<h1>rnalysis.general.print_settings_file<a class="headerlink" href="#rnalysis-general-print-settings-file" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-general-print-settings-file">
+<h1>rnalysis.general.print_settings_file<a class="headerlink" href="#rnalysis-general-print-settings-file" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.general.print_settings_file">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">print_settings_file</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.print_settings_file" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">print_settings_file</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.print_settings_file" title="Permalink to this definition"></a></dt>
 <dd><p>Print the current setting file configuration.</p>
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@@ -221,54 +124,37 @@ <h1>rnalysis.general.print_settings_file<a class="headerlink" href="#rnalysis-ge
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-<h1>rnalysis.general.reset_settings_file<a class="headerlink" href="#rnalysis-general-reset-settings-file" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-general-reset-settings-file">
+<h1>rnalysis.general.reset_settings_file<a class="headerlink" href="#rnalysis-general-reset-settings-file" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.general.reset_settings_file">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">reset_settings_file</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.reset_settings_file" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">reset_settings_file</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.reset_settings_file" title="Permalink to this definition"></a></dt>
 <dd><p>Resets the local settings by deleting the local settings file. Warning: this action is irreversible!</p>
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-<h1>rnalysis.general.save_to_csv<a class="headerlink" href="#rnalysis-general-save-to-csv" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-general-save-to-csv">
+<h1>rnalysis.general.save_to_csv<a class="headerlink" href="#rnalysis-general-save-to-csv" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.general.save_to_csv">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">save_to_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.save_to_csv" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">save_to_csv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.save_to_csv" title="Permalink to this definition"></a></dt>
 <dd><p>save a pandas DataFrame or Filter object to csv.
 :type df: Filter object or pandas DataFrame
 :param df: object to be saved
@@ -215,54 +118,37 @@ <h1>rnalysis.general.save_to_csv<a class="headerlink" href="#rnalysis-general-sa
 :param filename: name for the saved file. Specify full path to control the directory where the file will be saved.</p>
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index 378e0cf0a..10cb1edf9 100644
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-<h1>rnalysis.general.set_attr_ref_table_path<a class="headerlink" href="#rnalysis-general-set-attr-ref-table-path" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-general-set-attr-ref-table-path">
+<h1>rnalysis.general.set_attr_ref_table_path<a class="headerlink" href="#rnalysis-general-set-attr-ref-table-path" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.general.set_attr_ref_table_path">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">set_attr_ref_table_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.set_attr_ref_table_path" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">set_attr_ref_table_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.set_attr_ref_table_path" title="Permalink to this definition"></a></dt>
 <dd><p>Defines/updates the Attribute Reference Table path in the settings file.
 :param path: the path you wish to set as the Attribute Reference Table path
 :type path: str</p>
@@ -223,54 +126,37 @@ <h1>rnalysis.general.set_attr_ref_table_path<a class="headerlink" href="#rnalysi
 </div>
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-            
-  <section id="rnalysis-general-set-biotype-ref-table-path">
-<h1>rnalysis.general.set_biotype_ref_table_path<a class="headerlink" href="#rnalysis-general-set-biotype-ref-table-path" title="Permalink to this headline">¶</a></h1>
+             
+  <div class="section" id="rnalysis-general-set-biotype-ref-table-path">
+<h1>rnalysis.general.set_biotype_ref_table_path<a class="headerlink" href="#rnalysis-general-set-biotype-ref-table-path" title="Permalink to this headline"></a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="rnalysis.general.set_biotype_ref_table_path">
-<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">set_biotype_ref_table_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.set_biotype_ref_table_path" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">set_biotype_ref_table_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#rnalysis.general.set_biotype_ref_table_path" title="Permalink to this definition"></a></dt>
 <dd><p>Defines/updates the Biotype Reference Table path in the settings file.
 :param path: the path you wish to set as the Biotype Reference Table path
 :type path: str</p>
@@ -223,54 +126,37 @@ <h1>rnalysis.general.set_biotype_ref_table_path<a class="headerlink" href="#rnal
 </div>
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-            
-  <section id="rnalysis-package">
-<h1>rnalysis package<a class="headerlink" href="#rnalysis-package" title="Permalink to this headline">¶</a></h1>
-<section id="rnalysis-filtering-module">
-<h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-module" title="Permalink to this headline">¶</a></h2>
+             
+  <div class="section" id="rnalysis-package">
+<h1>rnalysis package<a class="headerlink" href="#rnalysis-package" title="Permalink to this headline"></a></h1>
+<div class="section" id="rnalysis-filtering-module">
+<h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-module" title="Permalink to this headline"></a></h2>
 <p>This module can filter, normalize, intersect and visualize tabular data such as read counts and differential expression data.
 Any tabular data saved in a csv format can be imported. Use this module to perform various filtering operations on your data,  normalize your data, perform set operations (union, intersection, etc), run basic exploratory analyses and plots (such as PCA, clustergram, violin plots, scatter, etc), save the filtered data to your computer, and more.
 When you save filtered/modified data, its new file name will include by default  all of the operations performed on it, in the order they were performed, to allow easy traceback of your analyses.</p>
@@ -274,12 +178,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>a seaborn boxplot object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id9">
+<div class="figure align-center" id="id9">
 <a class="reference internal image-reference" href="???.png"><img alt="???.png" src="???.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of box_plot()</span><a class="headerlink" href="#id9" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of box_plot()</span><a class="headerlink" href="#id9" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -298,12 +200,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>A seaborn clustermap object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id10">
+<div class="figure align-center" id="id10">
 <a class="reference internal image-reference" href="_images/clustergram.png"><img alt="_images/clustergram.png" src="_images/clustergram.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of clustergram()</span><a class="headerlink" href="#id10" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of clustergram()</span><a class="headerlink" href="#id10" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py property">
@@ -389,15 +289,15 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -435,12 +335,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>a seaborn enhanced box-plot object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id11">
+<div class="figure align-center" id="id11">
 <a class="reference internal image-reference" href="???.png"><img alt="???.png" src="???.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enhanced_box_plot()</span><a class="headerlink" href="#id11" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enhanced_box_plot()</span><a class="headerlink" href="#id11" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -874,20 +772,20 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -905,6 +803,33 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">normalize_to_rpm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">special_counter_fname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span></dt>
@@ -1011,12 +936,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>An instance of seaborn.PairGrid.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id12">
+<div class="figure align-center" id="id12">
 <a class="reference internal image-reference" href="_images/pairplot.png"><img alt="_images/pairplot.png" src="_images/pairplot.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of pairplot()</span><a class="headerlink" href="#id12" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of pairplot()</span><a class="headerlink" href="#id12" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -1034,12 +957,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 :type labels: bool (default=True)
 :param labels: if True, labels the points on the PCA plot.
 :return: A tuple whose first element is an sklearn.decomposition.pca object,         and second element is a list of matplotlib.axis objects.</p>
-<figure class="align-center" id="id13">
+<div class="figure align-center" id="id13">
 <a class="reference internal image-reference" href="_images/pca.png"><img alt="_images/pca.png" src="_images/pca.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of pca()</span><a class="headerlink" href="#id13" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of pca()</span><a class="headerlink" href="#id13" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -1055,12 +976,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 </ul>
 </dd>
 </dl>
-<figure class="align-center" id="id14">
+<div class="figure align-center" id="id14">
 <a class="reference internal image-reference" href="_images/plot_expression.png"><img alt="_images/plot_expression.png" src="_images/plot_expression.png" style="width: 403.6px; height: 294.40000000000003px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of plot_expression()</span><a class="headerlink" href="#id14" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of plot_expression()</span><a class="headerlink" href="#id14" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -1131,12 +1050,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>a matplotlib axis object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id15">
+<div class="figure align-center" id="id15">
 <a class="reference internal image-reference" href="_images/rpm_vs_rpm.png"><img alt="_images/rpm_vs_rpm.png" src="_images/rpm_vs_rpm.png" style="width: 480.0px; height: 477.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of scatter_sample_vs_sample()</span><a class="headerlink" href="#id15" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of scatter_sample_vs_sample()</span><a class="headerlink" href="#id15" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py attribute">
@@ -1372,14 +1289,14 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -1486,12 +1403,12 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -1536,12 +1453,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-even"><p>a seaborn violin object.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id16">
+<div class="figure align-center" id="id16">
 <a class="reference internal image-reference" href="_images/violin.png"><img alt="_images/violin.png" src="_images/violin.png" style="width: 1152.0px; height: 556.1999999999999px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of violin_plot()</span><a class="headerlink" href="#id16" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of violin_plot()</span><a class="headerlink" href="#id16" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 </dd></dl>
@@ -1687,15 +1602,15 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -2120,20 +2035,20 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -2157,6 +2072,33 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd><p>name of the log2 fold change column</p>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span></dt>
@@ -2388,14 +2330,14 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -2496,12 +2438,12 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -2540,12 +2482,10 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dd class="field-odd"><p><strong>alpha</strong> (<em>float between 0 and 1</em>) – the significance threshold to color data points as significantly up/down-regulated.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id17">
+<div class="figure align-center" id="id17">
 <a class="reference internal image-reference" href="_images/volcano.png"><img alt="_images/volcano.png" src="_images/volcano.png" style="width: 448.0px; height: 333.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of volcano_plot()</span><a class="headerlink" href="#id17" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of volcano_plot()</span><a class="headerlink" href="#id17" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 </dd></dl>
@@ -2692,15 +2632,15 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -3031,20 +2971,20 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -3062,6 +3002,33 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span></dt>
@@ -3265,14 +3232,14 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -3373,12 +3340,12 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -3564,15 +3531,15 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist only in the first Filter object.         If ‘str’, returns a string of the WBGene indices that exist only in the first Filter object,         delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting features.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices         that exist only in the first Filter object/set (set difference).</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features         that exist only in the first Filter object/set (set difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -3967,20 +3934,20 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done inplace on the first Filter object, or return a set/string of features.</p>
+<dd><p>Keep only the features that exist in ALL of the given Filter objects/sets.         Can be done either inplace on the first Filter object, or return a set/string of features.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate intersection with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.</p></li>
-<li><p><strong>inplace</strong> (<em>bool</em><em>, </em><em>default False</em>) – If True, filtering will be applied to the current Filter object. If False (default),         the function will return a set/str that contains the intersecting indices.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the intersecting features. If ‘str’, returns a string of         the intersecting features, delimited by a comma.</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em><em> (</em><em>default=False</em><em>)</em>) – If True, the function will be applied in-place to the current Filter object.         If False (default), the function will return a set/str that contains the intersecting indices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>If inplace=False, returns a set/string of the WBGene indices that intersect between two Filter objects.</p>
+<dd class="field-odd"><p>If inplace=False, returns a set/string of the features that         intersect between the given Filter objects/sets.</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -3998,6 +3965,33 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py">
+<span class="sig-name descname"><span class="pre">majority_vote_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">majority_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
+<dd><p>Returns a set/string of the features that appear in at least         (majority_threhold * 100)% of the given Filter objects/sets. 
+:type others: Filter or set objects.
+:param others: Objects to calculate intersection with.
+:type return_type: ‘set’ or ‘str’ (default=’set’)
+:param return_type: If ‘set’, returns a set of the intersecting WBGene indices. If ‘str’, returns a string of         the intersecting indices, delimited by a comma.
+:type majority_threshold: float (default=0.5)
+:param majority_threshold: The threshold that determines what counts as majority. Features will be returned         only if they appear in at least (majority_threshold * 100)% of the given Filter objects/sets.
+:rtype: set or str
+:return: If inplace=False, returns a set/string of the features that         uphold majority vote intersection between two given Filter objects/sets.</p>
+<dl class="field-list">
+<dt class="field-odd">Examples</dt>
+<dd class="field-odd"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">Filter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000001&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000003&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;WBGene00000002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00000004&#39;</span><span class="p">}</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># calculate majority-vote intersection and return a set</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">majority_vote_intersection</span><span class="p">(</span><span class="n">a_set</span><span class="p">,</span> <span class="n">b_set</span><span class="p">,</span> <span class="n">majority_threshold</span><span class="o">=</span><span class="mi">2</span><span class="o">/</span><span class="mi">3</span><span class="p">)</span>
+<span class="go">{&#39;WBGene00000002&#39;, &#39;WBGene00000003&#39;, &#39;WBGene00000004&#39;}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">number_filters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">operator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposite</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span></dt>
@@ -4267,14 +4261,14 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>other</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set.</em>) – a second Filter object/set to calculate symmetric difference with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the WBGene indices that exist in exactly one Filter object.         If ‘str’, returns a string of the WBGene indices that exist in exactly one Filter object, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the features that exist in exactly one Filter object.         If ‘str’, returns a string of the features that exist in exactly one Filter object, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
 <dd class="field-even"><p>set or str</p>
 </dd>
 <dt class="field-odd">Returns</dt>
-<dd class="field-odd"><p>a set/string of the WBGene indices that that exist t in exactly one Filter. (set symmetric difference).</p>
+<dd class="field-odd"><p>a set/string of the features that that exist t in exactly one Filter. (set symmetric difference).</p>
 </dd>
 <dt class="field-even">Examples</dt>
 <dd class="field-even"><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
@@ -4375,12 +4369,12 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 <dl class="py method">
 <dt class="sig sig-object py">
 <span class="sig-name descname"><span class="pre">union</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">others</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><span class="pre">rnalysis.filtering.Filter</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">set</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'set'</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Returns a set/string of the union of WBGene indices between multiple Filter objects         (the indices that exist in at least one of the Filter objects/sets).</p>
+<dd><p>Returns a set/string of the union of features between multiple Filter objects/sets         (the features that exist in at least one of the Filter objects/sets).</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>others</strong> (<a class="reference internal" href="rnalysis.filtering.Filter.html#rnalysis.filtering.Filter" title="rnalysis.filtering.Filter"><em>Filter</em></a><em> or </em><em>set objects.</em>) – Objects to calculate union with.</p></li>
-<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str.</em>) – If ‘set’, returns a set of the union WBGene indices. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
+<li><p><strong>return_type</strong> (<em>'set'</em><em> or </em><em>'str'</em><em> (</em><em>default='set'</em><em>)</em>) – If ‘set’, returns a set of the union features. If ‘str’, returns a string of         the union WBGene indices, delimited by a comma.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type</dt>
@@ -4414,7 +4408,7 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 
 <dl class="py class">
 <dt class="sig sig-object py">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">Pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_type:</span> <span class="pre">Union[str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.Filter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.CountFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.DESeqFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.FoldChangeFilter]</span> <span class="pre">=</span> <span class="pre">&lt;class</span> <span class="pre">'rnalysis.filtering.Filter'&gt;</span></span></em><span class="sig-paren">)</span></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">rnalysis.filtering.</span></span><span class="sig-name descname"><span class="pre">Pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filter_type:</span> <span class="pre">typing.Union[str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.Filter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.CountFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.DESeqFilter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rnalysis.filtering.FoldChangeFilter]</span> <span class="pre">=</span> <span class="pre">&lt;class</span> <span class="pre">'rnalysis.filtering.Filter'&gt;</span></span></em><span class="sig-paren">)</span></dt>
 <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
 <p>A collection of functions to be applied sequentially to Filter objects.</p>
 <p><strong>Attributes</strong></p>
@@ -4531,9 +4525,9 @@ <h2>rnalysis.filtering module<a class="headerlink" href="#rnalysis-filtering-mod
 
 </dd></dl>
 
-</section>
-<section id="rnalysis-enrichment-module">
-<h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-module" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="rnalysis-enrichment-module">
+<h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-module" title="Permalink to this headline"></a></h2>
 <p>This module can perform enrichment analyses on a given set of genomic features and visualize their intersections. These include gene ontology/tissue/phenotype enrichment, enrichment for user-defined attributes, set visualization ,etc. Results of enrichment analyses can be saved to .csv files.</p>
 <dl class="py class">
 <dt class="sig sig-object py">
@@ -4631,18 +4625,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 <dd class="field-odd"><p>a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id18">
+<div class="figure align-center" id="id18">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id18" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id19">
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric()</span><a class="headerlink" href="#id18" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id19">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id19" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_hypergeometric(plot_horizontal = False)</span><a class="headerlink" href="#id19" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -4677,18 +4667,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id20">
+<div class="figure align-center" id="id20">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id20" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id21">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization()</span><a class="headerlink" href="#id20" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id21">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id21" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization(plot_horizontal = False)</span><a class="headerlink" href="#id21" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -4721,18 +4707,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :type random_seed: The random seed used to initialize the pseudorandom generator for the randomization test.         By default it is picked at random, but you can set it to a particular integer to get consistents results         over multiple runs.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id22">
+<div class="figure align-center" id="id22">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id22" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id23">
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel()</span><a class="headerlink" href="#id22" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id23">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id23" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of enrich_randomization_parallel(plot_horizontal = False)</span><a class="headerlink" href="#id23" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py attribute">
@@ -4790,18 +4772,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id24">
+<div class="figure align-center" id="id24">
 <a class="reference internal image-reference" href="plot_enrichment_results_go.png"><img alt="plot_enrichment_results_go.png" src="plot_enrichment_results_go.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id24" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id25">
+<p class="caption"><span class="caption-text">Example plot of go_enrichment()</span><a class="headerlink" href="#id24" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id25">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_vertical.png"><img alt="plot_enrichment_results_go_vertical.png" src="plot_enrichment_results_go_vertical.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id25" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id25" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -4951,18 +4929,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 <dd class="field-odd"><p>a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
 </dd>
 </dl>
-<figure class="align-center" id="id26">
+<div class="figure align-center" id="id26">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_single_set.png"><img alt="_images/plot_enrichment_results_single_set.png" src="_images/plot_enrichment_results_single_set.png" style="width: 336.0px; height: 391.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_enrichment()</span><a class="headerlink" href="#id26" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id27">
+<p class="caption"><span class="caption-text">Example plot of single_set_enrichment()</span><a class="headerlink" href="#id26" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id27">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_single_set_vertical.png"><img alt="_images/plot_enrichment_results_single_set_vertical.png" src="_images/plot_enrichment_results_single_set_vertical.png" style="width: 491.4px; height: 333.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id27" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of single_set_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id27" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 <dl class="py method">
@@ -5006,18 +4980,14 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 :param parallel: if True, will calculate the statistical tests using parallel processing.         In most cases parallel processing will lead to shorter computation time, but does not affect the results of         the analysis otherwise.
 :rtype: pd.DataFrame (default) or Tuple[pd.DataFrame, matplotlib.figure.Figure]
 :return: a pandas DataFrame with the indicated attribute names as rows/index;         and a matplotlib Figure, if ‘return_figure’ is set to True.</p>
-<figure class="align-center" id="id28">
+<div class="figure align-center" id="id28">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_singlelist.png"><img alt="plot_enrichment_results_go_singlelist.png" src="plot_enrichment_results_go_singlelist.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_go_enrichment()</span><a class="headerlink" href="#id28" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id29">
+<p class="caption"><span class="caption-text">Example plot of single_set_go_enrichment()</span><a class="headerlink" href="#id28" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id29">
 <a class="reference internal image-reference" href="plot_enrichment_results_go_singlelist_vertical.png"><img alt="plot_enrichment_results_go_singlelist_vertical.png" src="plot_enrichment_results_go_singlelist_vertical.png" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of single_set_go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id29" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of single_set_go_enrichment(plot_horizontal = False)</span><a class="headerlink" href="#id29" title="Permalink to this image"></a></p>
+</div>
 </dd></dl>
 
 </dd></dl>
@@ -5064,12 +5034,10 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 </dd>
 <dt class="field-even">Returns</dt>
 <dd class="field-even"><p><p>a dictionary of matplotlib axes, where the keys are ‘matrix’, ‘intersections’, ‘totals’, ‘shading’.</p>
-<figure class="align-center" id="id30">
+<div class="figure align-center" id="id30">
 <a class="reference internal image-reference" href="_images/upsetplot.png"><img alt="_images/upsetplot.png" src="_images/upsetplot.png" style="width: 552.3px; height: 340.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id30" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id30" title="Permalink to this image"></a></p>
+</div>
 </p>
 </dd>
 </dl>
@@ -5097,25 +5065,23 @@ <h2>rnalysis.enrichment module<a class="headerlink" href="#rnalysis-enrichment-m
 </dd>
 <dt class="field-even">Returns</dt>
 <dd class="field-even"><p><p>a tuple of a VennDiagram object; and a list of 2-3 Circle patches.</p>
-<figure class="align-center" id="id31">
+<div class="figure align-center" id="id31">
 <a class="reference internal image-reference" href="_images/venn.png"><img alt="_images/venn.png" src="_images/venn.png" style="width: 550.1999999999999px; height: 416.5px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id31" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id31" title="Permalink to this image"></a></p>
+</div>
 </p>
 </dd>
 </dl>
 </dd></dl>
 
-</section>
-<section id="rnalysis-general-module">
-<h2>rnalysis.general module<a class="headerlink" href="#rnalysis-general-module" title="Permalink to this headline">¶</a></h2>
+</div>
+<div class="section" id="rnalysis-general-module">
+<h2>rnalysis.general module<a class="headerlink" href="#rnalysis-general-module" title="Permalink to this headline"></a></h2>
 <p>This module contains general-purpose functions. Those include saving Filter objects and result tables, reading and updating the settings file, parsing common types of genomic feature indices, etc.</p>
 <dl class="py function">
 <dt class="sig sig-object py">
 <span class="sig-prename descclassname"><span class="pre">rnalysis.general.</span></span><span class="sig-name descname"><span class="pre">parse_gene_name_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Receives a string that contains gene names (like ‘daf-2’ or ‘lin15B’).     Parses the string into a set of gene names.     The format of a gene name is a sequence consisting of the expression     ‘[a-z]{3,4}’, the character ‘-’, and the expression ‘[A-Z,0-9]{1,4}’.
+<dd><p>Receives a string that contains gene names (like ‘daf-2’ or ‘lin15B’).     Parses the string into a set of gene names.     The format of a gene name is a sequence consisting of the expression     ‘[a-z]{3,4}’, the character ‘-‘, and the expression ‘[A-Z,0-9]{1,4}’.
 :type string: str
 :param string: The string to be parsed. Can be any format of string.
 :return:
@@ -5244,51 +5210,35 @@ <h2>rnalysis.general module<a class="headerlink" href="#rnalysis-general-module"
 </div>
 </dd></dl>
 
-</section>
-</section>
+</div>
+</div>
 
 
            </div>
-           
           </div>
           <footer>
 
   <hr/>
 
   <div role="contentinfo">
-    <p>
-        &#169; Copyright 2021, Guy Teichman.
-
-    </p>
+    <p>&#169; Copyright 2021, Guy Teichman.</p>
   </div>
-    
-    
-    
-    Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
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+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
+   
 
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index 21d6a9257..671de0ebc 100644
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+++ b/docs/build/search.html
@@ -1,80 +1,37 @@
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+  <title>Search &mdash; RNAlysis 2.0.1 documentation</title>
+      <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
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+    <script src="_static/js/theme.js"></script>
+    <script src="_static/searchtools.js"></script>
+    <script src="_static/language_data.js"></script>
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+<body class="wy-body-for-nav"> 
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               <p class="caption" role="heading"><span class="caption-text">About RNAlysis:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="readme.html">What is <em>RNAlysis?</em></a></li>
@@ -126,67 +72,29 @@
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,130,132,133,134,135,136,137,138,139,140,141,142,143,144,145,147,148,149,154,155,157,159],"do":[0,5,6,9,18,32,38,52,90,115,137,158,170],"final":[0,9,78,79,170],"float":[0,9,15,16,17,18,20,29,30,31,32,34,37,38,41,43,54,55,57,65,74,75,76,77,82,89,94,95,99,104,108,110,118,122,127,130,136,141,145,147,151,155],"function":[0,2,4,5,9,10,17,18,25,31,32,38,41,47,50,51,52,53,54,55,56,57,58,62,63,64,65,67,82,84,88,89,90,91,92,93,94,95,96,98,99,108,114,115,116,117,118,119,121,122,130,135,136,137,138,139,140,141,142,144,145,155,157,158,159,160,161,170],"import":[0,9,11,12,14,19,23,24,25,26,28,33,39,40,44,45,46,49,50,52,53,54,55,56,57,58,59,60,61,62,63,64,65,69,72,73,74,75,80,81,82,83,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,102,103,104,105,106,107,108,109,111,112,113,114,115,116,117,118,119,120,121,122,123,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,149,150,151,152,153,154,155,156,157,158,159,160,162,163,164,165,168,169,170],"int":[0,9,15,16,17,18,20,29,30,31,32,34,37,38,58,61,65,67,68,76,77,78,79,81,82,89,96,97,99,107,108,119,120,122,129,130,136,142,143,145,147,154,155],"long":[0,5,9,46,86,112,133,170],"new":[0,2,5,9,13,14,19,23,24,27,28,33,39,40,44,52,53,54,55,56,57,58,59,63,64,65,73,74,75,82,89,90,91,92,93,94,95,96,99,103,104,105,108,115,116,117,118,119,122,126,127,130,136,137,138,139,140,141,142,145,147,150,151,152,155,159,170],"public":[7,170],"return":[0,5,9,12,14,15,16,17,18,19,23,24,26,28,29,30,31,32,33,37,38,39,40,41,42,43,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,71,72,73,74,75,76,77,78,79,80,81,82,83,84,86,87,88,89,90,91,92,93,94,95,96,97,98,99,102,103,104,105,106,107,108,109,112,113,114,115,116,117,118,119,120,121,122,125,126,127,128,129,130,131,133,134,135,136,137,138,139,140,141,142,143,144,145,147,149,150,151,152,153,154,155,156,159,162,163,164,170],"short":[0,9,46,86,112,133],"static":0,"throw":170,"true":[0,5,9,15,16,17,18,20,29,30,31,32,34,37,38,41,43,46,47,50,51,52,53,54,55,56,57,58,60,62,63,64,65,66,67,72,76,77,78,79,82,86,88,89,90,91,92,93,94,95,96,98,99,102,108,112,114,115,116,117,118,119,121,122,125,130,133,135,136,137,138,139,140,141,142,144,145,147,149,155,158,159,170],"try":[0,9,77,78,79],"while":[0,9,43,170],A:[0,2,4,9,23,39,45,47,48,51,59,66,67,73,75,84,85,103,111,126,132,147,150,157,162,163,170],AND:[0,9,53,91,116,138],At:170,BUT:[0,9,52,53,54,55,56,57,58,65,82,89,90,91,92,93,94,95,96,99,108,115,116,117,118,119,122,130,136,137,138,139,140,141,142,145,155],By:[0,9,16,17,18,30,31,32,170],For:[0,4,9,15,16,17,18,29,30,31,32,37,38,41,42,43,45,48,49,57,66,67,68,76,77,79,87,89,94,113,118,134,136,141,147,158,170],If:[0,2,7,9,15,16,17,18,29,30,31,32,37,38,50,52,53,54,55,56,57,58,59,60,62,63,64,65,66,67,70,71,72,76,77,78,79,80,82,83,88,89,90,91,92,93,94,95,96,98,99,101,102,106,108,109,114,115,116,117,118,119,121,122,124,125,128,130,131,135,136,137,138,139,140,141,142,144,145,147,148,149,153,155,156,159,170],In:[0,9,15,16,17,18,29,30,31,32,37,38,170],It:[0,5,9,17,31,47,51,84,170],NOT:[0,9,14,28,50,60,80,88,106,114,128,135,153,170],No:[0,9,15,16,17,18,29,30,31,32,37,38,147],ONE:[0,9,23,39],OR:[0,9,53,80,91,106,116,128,138,153],One:[5,170],Or:[1,7,8,170],Such:170,The:[0,2,4,5,7,9,14,15,16,17,18,19,24,28,29,30,31,32,33,37,38,40,45,47,49,51,54,55,57,60,67,68,74,75,76,77,78,79,85,87,89,94,104,105,111,113,118,127,132,134,136,141,147,151,152,157,162,163,164,170],Then:2,There:170,These:[0,9,10],To:[0,2,7,9,17,18,31,32,38,47,51,53,66,84,91,116,138,170],Will:[0,9,15,16,17,18,29,30,31,32,68,147],With:170,__alignment_no_uniqu:170,__alignment_not_uniqu:170,__ambigu:170,__init__:[11,25,45,85,111,132,157],__no_featur:170,__not_align:170,__too_low_aqu:170,_apply_filter_norm_sort:0,_apply_oth:0,_apply_split:0,_avg_subsampl:0,_b_rep3:[0,9,45],_fetch_set:0,_from_str:0,_func_signatur:0,_generate_upset_sr:0,_inplac:0,_missing_from_biotype_refer:5,_numeric_column:0,_param_str:0,_pca:[0,9,67],_plot_pca:0,_set_op:0,_sort:0,a_rep1:[0,9,45],a_rep2:[0,9,45],a_rep3:[0,9,45],a_set:[0,9,50,62,88,98,114,121,135,144,170],ab:170,abl:5,about:[0,2,4,5,9,18,32,38,53,63,74,91,104,116,127,138,151,170],abov:[0,9,57,74,77,94,104,118,127,141,151,170],abslog2fc:[0,9,89,136],absolut:[0,9,47,51,60,84,89,136,170],abut:4,ac3:[0,9,82,108,130,155],accept:[0,5,9,77,170],access:170,accord:[0,5,9,15,16,17,29,30,31,37,45,53,57,60,70,74,85,91,92,94,95,101,104,116,118,124,127,138,139,141,148,151,170],accur:170,accuraci:170,across:[5,170],action:[0,9,166,170],activ:[5,170],ad:[0,9,66,158,159,160,170],add:[0,2,9,43,47,51,158],add_funct:[0,9,159,160,170],addit:[0,5,9,15,16,17,18,29,30,31,32,37,38,46,76,86,112,133,159,170],adj:[0,9,110],adjust:[0,9,95,170],advantag:170,affect:[0,9,15,16,18,29,30,32,37,38,52,53,54,55,56,57,58,63,64,65,82,89,90,91,92,93,94,95,96,99,108,115,116,117,118,119,122,130,136,137,138,139,140,141,142,145,155,170],after:170,against:[0,9,14,15,16,17,18,19,23,24,28,29,30,31,32,33,39,40,170],agglom:170,aggreg:[],aim:170,al:[0,5,9,18,32,38],alexa:[0,9,18,32,38]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96,97,98,99,100,101,103,104,108,109,110,111,113,114,115,116,117,118,119,120,121,122,123,124,125,127,128,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,151,152,153,157,158,159,160,161,163],"do":[0,5,6,9,18,32,38,52,91,117,140,162,174],"final":[0,9,79,80,174],"float":[0,9,15,16,17,18,20,29,30,31,32,34,37,38,41,43,54,55,57,63,66,75,76,77,78,83,90,95,96,100,101,106,110,112,120,124,125,130,133,139,144,148,149,151,155,159],"function":[0,2,4,5,9,10,17,18,25,31,32,38,41,47,50,51,52,53,54,55,56,57,58,62,64,65,66,68,83,85,89,90,91,92,93,94,95,96,97,99,101,110,116,117,118,119,120,121,123,125,133,138,139,140,141,142,143,144,145,147,149,159,161,162,163,164,165,174],"import":[0,9,11,12,14,19,23,24,25,26,28,33,39,40,44,45,46,49,50,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,70,73,74,75,76,81,82,83,84,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,104,105,106,107,108,109,110,111,113,114,115,116,117,118,119,120,121,122,123,124,125,126,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,153,154,155,156,157,158,159,160,161,162,163,164,166,167,168,169,172,173,174],"int":[0,9,15,16,17,18,20,29,30,31,32,34,37,38,58,61,66,68,69,77,78,79,80,82,83,90,97,98,101,109,110,121,122,125,132,133,139,145,146,149,151,158,159],"long":[0,5,9,46,87,114,136,174],"new":[0,2,5,9,13,14,19,23,24,27,28,33,39,40,44,52,53,54,55,56,57,58,59,64,65,66,74,75,76,83,90,91,92,93,94,95,96,97,101,105,106,107,110,117,118,119,120,121,125,129,130,133,139,140,141,142,143,144,145,149,151,154,155,156,159,163,174],"public":[7,174],"return":[0,5,9,12,14,15,16,17,18,19,23,24,26,28,29,30,31,32,33,37,38,39,40,41,42,43,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,72,73,74,75,76,77,78,79,80,81,82,83,84,85,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,104,105,106,107,108,109,110,111,114,115,116,117,118,119,120,121,122,123,124,125,128,129,130,131,132,133,134,136,137,138,139,140,141,142,143,144,145,146,147,148,149,151,153,154,155,156,157,158,159,160,163,166,167,168,174],"short":[0,9,46,87,114,136],"static":0,"throw":174,"true":[0,5,9,15,16,17,18,20,29,30,31,32,34,37,38,41,43,46,47,50,51,52,53,54,55,56,57,58,60,62,64,65,66,67,68,73,77,78,79,80,83,87,89,90,91,92,93,94,95,96,97,99,101,104,110,114,116,117,118,119,120,121,123,125,128,133,136,138,139,140,141,142,143,144,145,147,149,151,153,159,162,163,174],"try":[0,5,9,78,79,80],"while":[0,9,43,174],A:[0,2,4,9,23,39,45,47,48,51,59,67,68,74,76,85,86,105,113,129,135,151,154,161,166,167,174],AND:[0,9,53,92,118,141],At:174,BUT:[0,9,52,53,54,55,56,57,58,66,83,90,91,92,93,94,95,96,97,101,110,117,118,119,120,121,125,133,139,140,141,142,143,144,145,149,159],By:[0,9,16,17,18,30,31,32,174],For:[0,4,9,15,16,17,18,29,30,31,32,37,38,41,42,43,45,48,49,57,67,68,69,77,78,80,88,90,95,115,120,137,139,144,151,162,174],If:[0,2,7,9,15,16,17,18,29,30,31,32,37,38,50,52,53,54,55,56,57,58,59,60,62,63,64,65,66,67,68,71,72,73,77,78,79,80,81,83,84,89,90,91,92,93,94,95,96,97,99,100,101,103,104,108,110,111,116,117,118,119,120,121,123,124,125,127,128,131,133,134,138,139,140,141,142,143,144,145,147,148,149,151,152,153,157,159,160,163,174],In:[0,9,15,16,17,18,29,30,31,32,37,38,174],It:[0,5,9,17,31,47,51,85,174],NOT:[0,9,14,28,50,60,81,89,108,116,131,138,157,174],No:[0,9,15,16,17,18,29,30,31,32,37,38,151],ONE:[0,9,23,39],OR:[0,9,53,81,92,108,118,131,141,157],One:[5,174],Or:[1,7,8,174],Such:174,The:[0,2,4,5,7,9,14,15,16,17,18,19,24,28,29,30,31,32,33,37,38,40,45,47,49,51,54,55,57,60,63,68,69,75,76,77,78,79,80,86,88,90,95,100,106,107,113,115,120,124,130,135,137,139,144,148,151,155,156,161,166,167,168,174],Then:2,There:174,These:[0,9,10],To:[0,2,7,9,17,18,31,32,38,47,51,53,67,85,92,118,141,174],Will:[0,9,15,16,17,18,29,30,31,32,69,151],With:174,__alignment_no_uniqu:174,__alignment_not_uniqu:174,__ambigu:174,__init__:[11,25,45,86,113,135,161],__no_featur:174,__not_align:174,__too_low_aqu:174,_apply_filter_norm_sort:0,_apply_oth:0,_apply_split:0,_avg_subsampl:0,_b_rep3:[0,9,45],_fetch_set:0,_from_str:0,_func_signatur:0,_generate_upset_sr:0,_inplac:0,_missing_from_biotype_refer:5,_numeric_column:0,_param_str:0,_pca:[0,9,68],_plot_pca:0,_set_op:0,_sort:0,a_rep1:[0,9,45],a_rep2:[0,9,45],a_rep3:[0,9,45],a_set:[0,9,50,62,63,89,99,100,116,123,124,138,147,148,174],ab:174,abl:5,about:[0,2,4,5,9,18,32,38,53,64,75,92,106,118,130,141,155,174],abov:[0,9,57,75,78,95,106,120,130,144,155,174],abslog2fc:[0,9,90,139],absolut:[0,9,47,51,60,85,90,139,174],abut:4,ac3:[0,9,83,110,133,159],accept:[0,5,9,78,174],access:174,accord:[0,5,9,15,16,17,29,30,31,37,45,53,57,60,71,75,86,92,93,95,96,103,106,118,120,127,130,141,142,144,152,155,174],accur:174,accuraci:174,across:[5,174],action:[0,9,170,174],activ:[5,174],ad:[0,9,67,162,163,164,174],add:[0,2,9,43,47,51,162],add_funct:[0,9,163,164,174],addit:[0,5,9,15,16,17,18,29,30,31,32,37,38,46,77,87,114,136,163,174],adj:[0,9,112],adjust:[0,9,96,174],advantag:174,affect:[0,9,15,16,18,29,30,32,37,38,52,53,54,55,56,57,58,64,65,66,83,90,91,92,93,94,95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-            
-  <section id="user-guide">
-<h1>User guide<a class="headerlink" href="#user-guide" title="Permalink to this headline">¶</a></h1>
-<section id="rnalysis-filtering-module">
-<h2>RNAlysis filtering module<a class="headerlink" href="#rnalysis-filtering-module" title="Permalink to this headline">¶</a></h2>
+             
+  <div class="section" id="user-guide">
+<h1>User guide<a class="headerlink" href="#user-guide" title="Permalink to this headline"></a></h1>
+<div class="section" id="rnalysis-filtering-module">
+<h2>RNAlysis filtering module<a class="headerlink" href="#rnalysis-filtering-module" title="Permalink to this headline"></a></h2>
 <p>RNAlysis’s filtering module (rnalysis.filtering) is built to allow rapid and easy to understand filtering of various forms of RNA sequencing data. The module also contains specific methods for visualization and clustering of data.</p>
 <p>The filtering module is built around <a class="reference internal" href="glossary.html#term-Filter-objects"><span class="xref std std-term">Filter objects</span></a>, which are containers for tabular sequencing data. You can use the different types of <a class="reference internal" href="glossary.html#term-Filter-objects"><span class="xref std std-term">Filter objects</span></a> to apply filtering operations to various types of tabular data. You will learn more about <a class="reference internal" href="glossary.html#term-Filter-objects"><span class="xref std std-term">Filter objects</span></a> in the next section.</p>
-<section id="working-with-filter-objects">
-<h3>Working with Filter objects<a class="headerlink" href="#working-with-filter-objects" title="Permalink to this headline">¶</a></h3>
+<div class="section" id="working-with-filter-objects">
+<h3>Working with Filter objects<a class="headerlink" href="#working-with-filter-objects" title="Permalink to this headline"></a></h3>
 <p>All <a class="reference internal" href="glossary.html#term-Filter-objects"><span class="xref std std-term">Filter objects</span></a> (<a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a>, <a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a>, <a class="reference internal" href="glossary.html#term-Filter"><span class="xref std std-term">Filter</span></a>, <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a>) work on the same principles,
 and share many of the same functions and features. Each of them also has specific filtering, analysis and visualisation functions. In this section we will look into the general usage of <a class="reference internal" href="glossary.html#term-Filter-objects"><span class="xref std std-term">Filter objects</span></a>.</p>
-<section id="initialize-a-filter-object">
-<h4>Initialize a Filter object<a class="headerlink" href="#initialize-a-filter-object" title="Permalink to this headline">¶</a></h4>
+<div class="section" id="initialize-a-filter-object">
+<h4>Initialize a Filter object<a class="headerlink" href="#initialize-a-filter-object" title="Permalink to this headline"></a></h4>
 <p>We will start by importing the filtering module:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">filtering</span>
 </pre></div>
@@ -282,9 +186,9 @@ <h4>Initialize a Filter object<a class="headerlink" href="#initialize-a-filter-o
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">DESeqFilter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-</section>
-<section id="view-a-filter-object">
-<h4>View a Filter object<a class="headerlink" href="#view-a-filter-object" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="view-a-filter-object">
+<h4>View a Filter object<a class="headerlink" href="#view-a-filter-object" title="Permalink to this headline"></a></h4>
 <p>In order to view a glimpse of the file we imported we can use the ‘head’ and ‘tail’ functions.
 By default ‘head’ will show the first 5 rows of the file, and ‘tail’ will show the last 5 rows,
 but you can specify a specific number of lines to show.</p>
@@ -317,9 +221,9 @@ <h4>View a Filter object<a class="headerlink" href="#view-a-filter-object" title
 </pre></div>
 </div>
 <p>meaning there are 28 rows and 6 columns in the file.</p>
-</section>
-<section id="filtering-operations">
-<h4>Filtering operations<a class="headerlink" href="#filtering-operations" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="filtering-operations">
+<h4>Filtering operations<a class="headerlink" href="#filtering-operations" title="Permalink to this headline"></a></h4>
 <p>Now we can start filtering the entries in the file according to parameters of our choosing.
 Various filtering operations are applied directly to the <a class="reference internal" href="glossary.html#term-Filter-object"><span class="xref std std-term">Filter object</span></a>. Those operations do not affect the original <cite>csv</cite> file, but its representation within the <a class="reference internal" href="glossary.html#term-Filter-object"><span class="xref std std-term">Filter object</span></a>.
 For example, we can the function ‘filter_percentile’ to remove all rows that are above the specified percentile (in our example, 75% percentile) in the specified column (in our example, ‘log2FoldChange’):</p>
@@ -353,9 +257,9 @@ <h4>Filtering operations<a class="headerlink" href="#filtering-operations" title
 </div>
 <p>Calling this function without the ‘opposite’ parameter would have removed all values except the bottom 25% of the ‘log2FoldChange’ column. When specifying ‘opposite’, we instead throw out the bottom 25% of the ‘log2FoldChange’ column and keep the rest.</p>
 <p>There are many different filtering functions within the filtering module. Some of them are subtype-specific (such as ‘filter_low_reads’ for <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> objects and ‘filter_significant’ for <a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a> objects), while others can be applied to any <a class="reference internal" href="glossary.html#term-Filter-object"><span class="xref std std-term">Filter object</span></a>. You can read more about the different functions and their usage in the project’s documentation.</p>
-</section>
-<section id="performing-set-operations-on-multiple-filter-objects">
-<h4>Performing set operations on multiple Filter objects<a class="headerlink" href="#performing-set-operations-on-multiple-filter-objects" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="performing-set-operations-on-multiple-filter-objects">
+<h4>Performing set operations on multiple Filter objects<a class="headerlink" href="#performing-set-operations-on-multiple-filter-objects" title="Permalink to this headline"></a></h4>
 <p>In addition to using regular filters, it is also possible to use set operations such as union, intersection, difference and symmetric difference to combine the results of multiple <a class="reference internal" href="glossary.html#term-Filter-objects"><span class="xref std std-term">Filter objects</span></a>. Those set operations can be applied to any Filter object, as well as to python sets. The objects don’t have to be of the same subtype - you can, for example, look at the union of a <a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a> object, an <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> object and a python set:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">DESeqFilter</span><span class="p">(</span><span class="s2">&quot;tests/test_files/test_deseq.csv&quot;</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">counts</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">CountFilter</span><span class="p">(</span><span class="s1">&#39;tests/test_files/counted.csv&#39;</span><span class="p">)</span>
@@ -368,9 +272,9 @@ <h4>Performing set operations on multiple Filter objects<a class="headerlink" hr
 </pre></div>
 </div>
 <p>When performing set operations, the return type can be either a python set (default) or a string. This means you can use the output of the set operation as an input for yet another set operation. However, since the returned object is a set you cannot use <a class="reference internal" href="glossary.html#term-Filter-object"><span class="xref std std-term">Filter object</span></a> functions such as ‘head’ and ‘save_csv’ on it, or apply filters to it directly. Intersection and Difference in particular can be used in-place, which applies the filtering to the first <a class="reference internal" href="glossary.html#term-Filter-object"><span class="xref std std-term">Filter object</span></a>.</p>
-</section>
-<section id="saving-filter-results">
-<h4>Saving Filter results<a class="headerlink" href="#saving-filter-results" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="saving-filter-results">
+<h4>Saving Filter results<a class="headerlink" href="#saving-filter-results" title="Permalink to this headline"></a></h4>
 <p>At any point we can save the current result of our filtering to a new <cite>csv</cite> file, by using the ‘save_csv’ function:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">save_csv</span><span class="p">()</span>
 </pre></div>
@@ -413,9 +317,9 @@ <h4>Saving Filter results<a class="headerlink" href="#saving-filter-results" tit
 </pre></div>
 </div>
 <p>Sets of genomic feature indices can be used later for enrichment analysis using the enrichment module (see below).</p>
-</section>
-<section id="using-an-attribute-reference-table-for-filter-operations">
-<h4>Using an Attribute Reference Table for filter operations<a class="headerlink" href="#using-an-attribute-reference-table-for-filter-operations" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="using-an-attribute-reference-table-for-filter-operations">
+<h4>Using an Attribute Reference Table for filter operations<a class="headerlink" href="#using-an-attribute-reference-table-for-filter-operations" title="Permalink to this headline"></a></h4>
 <p>An <a class="reference internal" href="glossary.html#term-Attribute-Reference-Table"><span class="xref std std-term">Attribute Reference Table</span></a> contains various user-defined attributes (such as ‘genes expressed in intestine’, ‘epigenetic genes’ or ‘genes that have paralogs’) and their value for each genomic feature.
 You can read more about the <a class="reference internal" href="glossary.html#term-Attribute-Reference-Table"><span class="xref std std-term">Attribute Reference Table</span></a> format and loading an <a class="reference internal" href="glossary.html#term-Attribute-Reference-Table"><span class="xref std std-term">Attribute Reference Table</span></a> in the <a class="reference internal" href="#reference-table-ref"><span class="std std-ref">Set and load a Reference Table</span></a> section.
 Using the function Filter.filter_by_attribute(), you can filter your genomic features by one of the user-defined attributes in the Reference Table:</p>
@@ -424,9 +328,9 @@ <h4>Using an Attribute Reference Table for filter operations<a class="headerlink
 <span class="go">Filtered 27 features, leaving 1 of the original 28 features. Filtered inplace.</span>
 </pre></div>
 </div>
-</section>
-<section id="using-a-biotype-reference-table-for-filter-operations">
-<h4>Using a Biotype Reference Table for filter operations<a class="headerlink" href="#using-a-biotype-reference-table-for-filter-operations" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="using-a-biotype-reference-table-for-filter-operations">
+<h4>Using a Biotype Reference Table for filter operations<a class="headerlink" href="#using-a-biotype-reference-table-for-filter-operations" title="Permalink to this headline"></a></h4>
 <p>A <a class="reference internal" href="glossary.html#term-Biotype-Reference-Table"><span class="xref std std-term">Biotype Reference Table</span></a> contains annotations of the biotype of each genomic features (‘protein_coding’, ‘piRNAs’, ‘lincRNAs’, ‘pseudogenes’, etc).
 You can read more about the <a class="reference internal" href="glossary.html#term-Biotype-Reference-Table"><span class="xref std std-term">Biotype Reference Table</span></a> format and loading a <a class="reference internal" href="glossary.html#term-Biotype-Reference-Table"><span class="xref std std-term">Biotype Reference Table</span></a> in the <a class="reference internal" href="#reference-table-ref"><span class="std std-ref">Set and load a Reference Table</span></a> section.
 Using the function Filter.filter_biotype(), you can filter your genomic features by their annotated biotype in the Biotype Reference Table:</p>
@@ -458,16 +362,16 @@ <h4>Using a Biotype Reference Table for filter operations<a class="headerlink" h
 <span class="go">[3 rows x 48 columns]</span>
 </pre></div>
 </div>
-</section>
-</section>
-<section id="filtering-deseq2-output-files-with-filtering-deseqfilter">
-<h3>Filtering DESeq2 output files with filtering.DESeqFilter<a class="headerlink" href="#filtering-deseq2-output-files-with-filtering-deseqfilter" title="Permalink to this headline">¶</a></h3>
+</div>
+</div>
+<div class="section" id="filtering-deseq2-output-files-with-filtering-deseqfilter">
+<h3>Filtering DESeq2 output files with filtering.DESeqFilter<a class="headerlink" href="#filtering-deseq2-output-files-with-filtering-deseqfilter" title="Permalink to this headline"></a></h3>
 <p><a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a> objects are built to easily filter differential expression tables, such as those returned by the R package DESeq2.
 Like other Filter Objects, filtering operations on <a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a> are performed in-place by default, meaning the original object is modified.</p>
 <p>You can read more about DESeq2 here:
 <a class="reference external" href="https://doi.org/doi:10.18129/B9.bioc.DESeq2">https://doi.org/doi:10.18129/B9.bioc.DESeq2</a></p>
-<section id="loading-from-a-csv-file">
-<h4>Loading from a <cite>csv</cite> file<a class="headerlink" href="#loading-from-a-csv-file" title="Permalink to this headline">¶</a></h4>
+<div class="section" id="loading-from-a-csv-file">
+<h4>Loading from a <cite>csv</cite> file<a class="headerlink" href="#loading-from-a-csv-file" title="Permalink to this headline"></a></h4>
 <p>Any <cite>csv</cite> file that contains differential expression analysis data with log2 fold change and adjusted p-values can be used as input for <a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a>.
 By default, RNAlysis assumes that log2 fold change values will be specified under a ‘log2FoldChange’ column, and adjusted p-values will be specified under a ‘padj’ column (as is the default in differential expression tables generated by DESeq2):</p>
 <table class="docutils align-default">
@@ -566,32 +470,30 @@ <h4>Loading from a <cite>csv</cite> file<a class="headerlink" href="#loading-fro
 </pre></div>
 </div>
 <p>Unique <a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a> functions (such as ‘filter_significant’ and ‘filter_abs_log2_fold_change’) will not execute properly if the log2 fold change column and adjusted p-value column are not defined correctly.</p>
-</section>
-<section id="filtering-operations-unique-to-deseqfilter">
-<h4>Filtering operations unique to DESeqFilter<a class="headerlink" href="#filtering-operations-unique-to-deseqfilter" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="filtering-operations-unique-to-deseqfilter">
+<h4>Filtering operations unique to DESeqFilter<a class="headerlink" href="#filtering-operations-unique-to-deseqfilter" title="Permalink to this headline"></a></h4>
 <p>There are a few filtering operations unique to DESeqFilter. Those include ‘filter_significant’, which removes statistically-insignificant rows according to a specified threshold; ‘filter_abs_log2_fold_change’, removes rows whose absolute value log2 fold change is below the specified threshold; ‘filter_fold_change_direction’ which removes either up-regulated (positive log2 fold change) or down-regulated (negative log2 fold change) rows; and ‘split_fold_change_direction’ which returns a <a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a> object with only up-regulated features and a <a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a> object with only down-regulated features.</p>
-</section>
-<section id="data-visualization-and-exploratory-data-analysis-with-deseqfilter">
-<h4>Data visualization and exploratory data analysis with DESeqFilter<a class="headerlink" href="#data-visualization-and-exploratory-data-analysis-with-deseqfilter" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="data-visualization-and-exploratory-data-analysis-with-deseqfilter">
+<h4>Data visualization and exploratory data analysis with DESeqFilter<a class="headerlink" href="#data-visualization-and-exploratory-data-analysis-with-deseqfilter" title="Permalink to this headline"></a></h4>
 <p><a class="reference internal" href="glossary.html#term-DESeqFilter"><span class="xref std std-term">DESeqFilter</span></a> supports methods for visualization and exploratory analysis of differential expression data.</p>
 <p>With DESeqFilter.volcano_plot, you can observe the direction, magnitude, and significance of differential expression within your data:</p>
-<figure class="align-center" id="id32">
+<div class="figure align-center" id="id32">
 <a class="reference internal image-reference" href="_images/volcano.png"><img alt="_images/volcano.png" src="_images/volcano.png" style="width: 448.0px; height: 333.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example output of DESeqFilter.volcano_plot()</span><a class="headerlink" href="#id32" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-</section>
-</section>
-<section id="filtering-count-matrices-with-filtering-countfilter">
-<h3>Filtering count matrices with filtering.CountFilter<a class="headerlink" href="#filtering-count-matrices-with-filtering-countfilter" title="Permalink to this headline">¶</a></h3>
+<p class="caption"><span class="caption-text">Example output of DESeqFilter.volcano_plot()</span><a class="headerlink" href="#id32" title="Permalink to this image"></a></p>
+</div>
+</div>
+</div>
+<div class="section" id="filtering-count-matrices-with-filtering-countfilter">
+<h3>Filtering count matrices with filtering.CountFilter<a class="headerlink" href="#filtering-count-matrices-with-filtering-countfilter" title="Permalink to this headline"></a></h3>
 <p><a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> objects are capable of visualizing, filtering, normalizing, and clustering of read count matrices (the output of feature-counting software such as HTSeq-count and featureCounts).
 Data can be imported into a CountFilter objects either from a <cite>csv</cite> file, or directly from HTSeq-count output files as explained below.</p>
 <p>You can read more about HTSeq-count here:
 <a class="reference external" href="https://htseq.readthedocs.io/en/master/count.html">https://htseq.readthedocs.io/en/master/count.html</a></p>
 <p>In principle, any <cite>csv</cite> file where the columns are different conditions/replicates and the rows include reads/normalized reads per genomic feature can be used as input for CountFilter. However, some <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> functions (such as ‘normalize_to_rpm’) will only work on HTSeq-count output files, and other unintended interactions may occur.</p>
-<section id="generating-an-countfilter-object-from-a-folder-of-htseq-count-output-txt-files">
-<span id="from-folder-ref"></span><h4>Generating an CountFilter object from a folder of HTSeq-count output .txt files<a class="headerlink" href="#generating-an-countfilter-object-from-a-folder-of-htseq-count-output-txt-files" title="Permalink to this headline">¶</a></h4>
+<div class="section" id="generating-an-countfilter-object-from-a-folder-of-htseq-count-output-txt-files">
+<span id="from-folder-ref"></span><h4>Generating an CountFilter object from a folder of HTSeq-count output .txt files<a class="headerlink" href="#generating-an-countfilter-object-from-a-folder-of-htseq-count-output-txt-files" title="Permalink to this headline"></a></h4>
 <p>HTSeq-count receives as input an aligned SAM/BAM file. The native output of HTSeq-count is a text file with feature indices and read-per-genomic-feature, as well as information about reads that weren’t counted for any feature (alignment not unique, low alignment quality, ambiguous, unaligned, aligned to no feature).
 An HTSeq-count output file would follow the following format:</p>
 <table class="docutils align-default">
@@ -659,9 +561,9 @@ <h3>Filtering count matrices with filtering.CountFilter<a class="headerlink" hre
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">counts</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">CountFilter</span><span class="o">.</span><span class="n">from_folder</span><span class="p">(</span><span class="s1">&#39;tests/test_files/test_count_from_folder&#39;</span><span class="p">,</span> <span class="n">norm_to_rpm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 </pre></div>
 </div>
-</section>
-<section id="loading-from-a-pre-made-csv-file">
-<h4>Loading from a pre-made <cite>csv</cite> file<a class="headerlink" href="#loading-from-a-pre-made-csv-file" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="loading-from-a-pre-made-csv-file">
+<h4>Loading from a pre-made <cite>csv</cite> file<a class="headerlink" href="#loading-from-a-pre-made-csv-file" title="Permalink to this headline"></a></h4>
 <p>If you have previously generated a <cite>csv</cite> file from HTSeq-count output files using RNAlysis, or have done so manually, you can directly load this <cite>csv</cite> file into an <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> object as you would any other Filter object:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">counts</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">CountFilter</span><span class="p">(</span><span class="s1">&#39;tests/test_files/counted.csv&#39;</span><span class="p">)</span>
 </pre></div>
@@ -740,13 +642,13 @@ <h4>Loading from a pre-made <cite>csv</cite> file<a class="headerlink" href="#lo
 </tr>
 </tbody>
 </table>
-</section>
-<section id="filtering-operations-unique-to-countfilter">
-<h4>Filtering operations unique to CountFilter<a class="headerlink" href="#filtering-operations-unique-to-countfilter" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="filtering-operations-unique-to-countfilter">
+<h4>Filtering operations unique to CountFilter<a class="headerlink" href="#filtering-operations-unique-to-countfilter" title="Permalink to this headline"></a></h4>
 <p>There are a few filtering operations unique to CountFilter. Those include ‘filter_low_reads’, which removes rows that have less than n reads in all columns.</p>
-</section>
-<section id="normalizing-reads-with-countfilter">
-<h4>Normalizing reads with CountFilter<a class="headerlink" href="#normalizing-reads-with-countfilter" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="normalizing-reads-with-countfilter">
+<h4>Normalizing reads with CountFilter<a class="headerlink" href="#normalizing-reads-with-countfilter" title="Permalink to this headline"></a></h4>
 <p><a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> offers two methods for normalizing reads: supply user-defined scaling factors, or normalize to reads per million (RPM). Data normalized in other methods (such as RPKM) can be used as input for CountFilter, but it cannot perform such normalization methods on its own.</p>
 <p>To normalize a <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> with user-generated scaling factors, we need a <cite>csv</cite> table with the size factor for each sample:</p>
 <table class="docutils align-default">
@@ -834,31 +736,25 @@ <h4>Normalizing reads with CountFilter<a class="headerlink" href="#normalizing-r
 </pre></div>
 </div>
 <p>The resulting <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> object will be normalized to RPM with the formula (1,000,000 * reads in cell) / (sum of aligned reads + __no_feature + __ambiguous + __alignment_no_unique)</p>
-</section>
-<section id="data-clustering-with-countfilter">
-<h4>Data clustering with CountFilter<a class="headerlink" href="#data-clustering-with-countfilter" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="data-clustering-with-countfilter">
+<h4>Data clustering with CountFilter<a class="headerlink" href="#data-clustering-with-countfilter" title="Permalink to this headline"></a></h4>
 <p>RNAlysis supports a wide variety of clustering methods, which can group genomic features into clusters according to their similarity across different samples.</p>
 <p>When clustering genomic features in a <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> object, the called function returns a tuple of <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> objects, with each object corresponding to one cluster of genomic features.</p>
 <p>Expression plots of the resulting clusters can be generated in one of multiple styles:</p>
 <blockquote>
-<div><figure class="align-center" id="id33">
+<div><div class="figure align-center" id="id33">
 <a class="reference internal image-reference" href="_images/kmeans_all.png"><img alt="_images/kmeans_all.png" src="_images/kmeans_all.png" style="width: 560.0px; height: 360.0px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example expression plot of clustering results with plot_style=’all’</span><a class="headerlink" href="#id33" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id34">
+<p class="caption"><span class="caption-text">Example expression plot of clustering results with plot_style=’all’</span><a class="headerlink" href="#id33" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id34">
 <a class="reference internal image-reference" href="_images/kmeans_std_area.png"><img alt="_images/kmeans_std_area.png" src="_images/kmeans_std_area.png" style="width: 560.0px; height: 360.0px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example expression plot of clustering results with plot_style=’std_area’</span><a class="headerlink" href="#id34" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-center" id="id35">
+<p class="caption"><span class="caption-text">Example expression plot of clustering results with plot_style=’std_area’</span><a class="headerlink" href="#id34" title="Permalink to this image"></a></p>
+</div>
+<div class="figure align-center" id="id35">
 <a class="reference internal image-reference" href="_images/kmeans_std_bar.png"><img alt="_images/kmeans_std_bar.png" src="_images/kmeans_std_bar.png" style="width: 560.0px; height: 360.0px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example expression plot of clustering results with plot_style=’std_bar’</span><a class="headerlink" href="#id35" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example expression plot of clustering results with plot_style=’std_bar’</span><a class="headerlink" href="#id35" title="Permalink to this image"></a></p>
+</div>
 </div></blockquote>
 <p>The expression plots can also by split into separate graphs, one for each discovered cluster.</p>
 <p>All clustering methods in RNAlysis which require you to specify the expected number of clusters (such as K in K-Means clustering) allow multiple ways of specifying the number of clusters you want to find.
@@ -916,8 +812,8 @@ <h4>Data clustering with CountFilter<a class="headerlink" href="#data-clustering
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-<section id="k-means-clustering">
-<h5>K-Means clustering<a class="headerlink" href="#k-means-clustering" title="Permalink to this headline">¶</a></h5>
+<div class="section" id="k-means-clustering">
+<h5>K-Means clustering<a class="headerlink" href="#k-means-clustering" title="Permalink to this headline"></a></h5>
 <p>K-means is a clustering method which partitions all of the data points into K clusters by minimizing the squared eucliean distance between points within each cluster.</p>
 <p>The algorithm is initiated by picking a random starting point, and therefore the exact clustering results can change between runs.</p>
 <p>The main advantage of K-means clustering is its simplicity - it contains one main tuning parameter (<em>K</em>, the expected number of clusters in the data).</p>
@@ -925,9 +821,9 @@ <h5>K-Means clustering<a class="headerlink" href="#k-means-clustering" title="Pe
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-</section>
-<section id="k-medoids-clustering">
-<h5>K-Medoids clustering<a class="headerlink" href="#k-medoids-clustering" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="k-medoids-clustering">
+<h5>K-Medoids clustering<a class="headerlink" href="#k-medoids-clustering" title="Permalink to this headline"></a></h5>
 <p>The K-medoids method is very similar to K-means. The main difference between the two is the way they define clusters and the distances between them:
 K-medoids picks one data point as the ‘center’ (medoid) of each cluster.
 In addition, K-medoids attempts to minimize the sum of dissimilarities within each cluster, instead of minimizing squared euclidean distance.</p>
@@ -951,9 +847,9 @@ <h5>K-Medoids clustering<a class="headerlink" href="#k-medoids-clustering" title
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-</section>
-<section id="hierarchical-clustering">
-<h5>Hierarchical clustering<a class="headerlink" href="#hierarchical-clustering" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="hierarchical-clustering">
+<h5>Hierarchical clustering<a class="headerlink" href="#hierarchical-clustering" title="Permalink to this headline"></a></h5>
 <p>Hierarchical clustering (or agglomerative clustering) is clustering method which aims to build a hierarchy of clusters.</p>
 <p>In agglomerative hierarchical clustering, each data points starts in its own clusters.
 The clustering algorithm then uses a distance metric (a measure of distance between pairs of data points)
@@ -981,9 +877,9 @@ <h5>Hierarchical clustering<a class="headerlink" href="#hierarchical-clustering"
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-</section>
-<section id="hdbscan-clustering">
-<h5>HDBSCAN clustering<a class="headerlink" href="#hdbscan-clustering" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="hdbscan-clustering">
+<h5>HDBSCAN clustering<a class="headerlink" href="#hdbscan-clustering" title="Permalink to this headline"></a></h5>
 <p>HDBSCAN stands for Hierarchical Density-Based Spatial Clustering of Applications with Noise (see <a class="reference external" href="https://link.springer.com/chapter/10.1007/978-3-642-37456-2_14">https://link.springer.com/chapter/10.1007/978-3-642-37456-2_14</a> ).
 HDBSCAN offers multiple advantages over more traditional clustering methods:</p>
 <ol class="arabic simple">
@@ -1011,49 +907,41 @@ <h5>HDBSCAN clustering<a class="headerlink" href="#hdbscan-clustering" title="Pe
 <div class="line-block">
 <div class="line"><br /></div>
 </div>
-</section>
-</section>
-<section id="data-visualization-and-exploratory-data-analysis-with-countfilter">
-<h4>Data visualization and exploratory data analysis with CountFilter<a class="headerlink" href="#data-visualization-and-exploratory-data-analysis-with-countfilter" title="Permalink to this headline">¶</a></h4>
+</div>
+</div>
+<div class="section" id="data-visualization-and-exploratory-data-analysis-with-countfilter">
+<h4>Data visualization and exploratory data analysis with CountFilter<a class="headerlink" href="#data-visualization-and-exploratory-data-analysis-with-countfilter" title="Permalink to this headline"></a></h4>
 <p><a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> includes multiple methods for visualization and exploratory analysis of count data.</p>
 <p>With CountFilter.pairplot, you can get a quick overview of the distribution of counts within each sample, and the correlation between different samples:</p>
-<figure class="align-center" id="id36">
+<div class="figure align-center" id="id36">
 <a class="reference internal image-reference" href="_images/pairplot.png"><img alt="_images/pairplot.png" src="_images/pairplot.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example output of CountFilter.pairplot()</span><a class="headerlink" href="#id36" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example output of CountFilter.pairplot()</span><a class="headerlink" href="#id36" title="Permalink to this image"></a></p>
+</div>
 <p>With CountFilter.pca, you can perform a principal component analysis and look for strong patterns in your dataset:</p>
 <blockquote>
-<div><figure class="align-center" id="id37">
+<div><div class="figure align-center" id="id37">
 <a class="reference internal image-reference" href="_images/pca.png"><img alt="_images/pca.png" src="_images/pca.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of CountFilter.pca()</span><a class="headerlink" href="#id37" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of CountFilter.pca()</span><a class="headerlink" href="#id37" title="Permalink to this image"></a></p>
+</div>
 </div></blockquote>
 <p>With CountFilter.plot_expression, you can examine the average expression of specific genomic features under the specific conditions:</p>
 <blockquote>
-<div><figure class="align-center" id="id38">
+<div><div class="figure align-center" id="id38">
 <a class="reference internal image-reference" href="_images/plot_expression.png"><img alt="_images/plot_expression.png" src="_images/plot_expression.png" style="width: 605.4px; height: 441.59999999999997px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of CountFilter.plot_expression()</span><a class="headerlink" href="#id38" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of CountFilter.plot_expression()</span><a class="headerlink" href="#id38" title="Permalink to this image"></a></p>
+</div>
 </div></blockquote>
 <p>With CountFilter.clustergram, you can cluster your samples according to specified distance and linkage metrics:</p>
 <blockquote>
-<div><figure class="align-center" id="id39">
+<div><div class="figure align-center" id="id39">
 <a class="reference internal image-reference" href="_images/clustergram.png"><img alt="_images/clustergram.png" src="_images/clustergram.png" style="width: 768.0px; height: 370.8px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of CountFilter.clustergram()</span><a class="headerlink" href="#id39" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of CountFilter.clustergram()</span><a class="headerlink" href="#id39" title="Permalink to this image"></a></p>
+</div>
 </div></blockquote>
-</section>
-</section>
-<section id="filtering-fold-change-data-of-features-using-filtering-foldchangefilter">
-<h3>Filtering fold-change data of features using filtering.FoldChangeFilter<a class="headerlink" href="#filtering-fold-change-data-of-features-using-filtering-foldchangefilter" title="Permalink to this headline">¶</a></h3>
+</div>
+</div>
+<div class="section" id="filtering-fold-change-data-of-features-using-filtering-foldchangefilter">
+<h3>Filtering fold-change data of features using filtering.FoldChangeFilter<a class="headerlink" href="#filtering-fold-change-data-of-features-using-filtering-foldchangefilter" title="Permalink to this headline"></a></h3>
 <p><a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> objects can perform filtering operations and randomization tests on fold change values between two conditions.</p>
 <p>A <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> object can be calculated from a <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> object (you can read more about it in the <a class="reference internal" href="#fold-change-from-count-ref"><span class="std std-ref">Generating fold change data from an existing CountFilter object</span></a>), or imported from a <cite>csv</cite> file like other <a class="reference internal" href="glossary.html#term-Filter-objects"><span class="xref std std-term">Filter objects</span></a>.</p>
 <div class="admonition warning">
@@ -1061,8 +949,8 @@ <h3>Filtering fold-change data of features using filtering.FoldChangeFilter<a cl
 <p>by default, <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> assumes that fold change is calculated as (numerator_reads+1)/(denominator_reads+1), and does not support 0 and inf values. If you load a <cite>csv</cite> file which contains 0 and/or inf values into a <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> object, unintended results and interactions may occur.</p>
 </div>
 <p>Unlike other Filter object, the underlying data structure storing the values is a pandas Series and not a pandas DataFrame, and lacks the Columns attribute.</p>
-<section id="loading-fold-change-data-from-a-csv-file">
-<h4>Loading fold change data from a <cite>csv</cite> file<a class="headerlink" href="#loading-fold-change-data-from-a-csv-file" title="Permalink to this headline">¶</a></h4>
+<div class="section" id="loading-fold-change-data-from-a-csv-file">
+<h4>Loading fold change data from a <cite>csv</cite> file<a class="headerlink" href="#loading-fold-change-data-from-a-csv-file" title="Permalink to this headline"></a></h4>
 <p>Like with other objects from the Filter family, you can simply load a pre-existing or pre-calculated <cite>csv</cite> file into a <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> object. However, in addition to the file path you will also have to enter the name of the numerator condition and the name of the denominator condition:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">f</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">FoldChangeFilter</span><span class="p">(</span><span class="s1">&#39;tests/test_files/fc_1.csv&#39;</span><span class="p">,</span><span class="s1">&#39;name of numerator condition&#39;</span><span class="p">,</span> <span class="s1">&#39;name of denominator condition&#39;</span><span class="p">)</span>
 </pre></div>
@@ -1078,9 +966,9 @@ <h4>Loading fold change data from a <cite>csv</cite> file<a class="headerlink" h
 <p class="admonition-title">Warning</p>
 <p>by default, <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> assumes that fold change is calculated as (mean_numerator_reads+1)/(mean_denominator_reads+1), and does not support 0 and inf values. If you load a <cite>csv</cite> file which contains 0 and/or inf values into a <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> object, unintended results and interactions may occur.</p>
 </div>
-</section>
-<section id="generating-fold-change-data-from-an-existing-countfilter-object">
-<span id="fold-change-from-count-ref"></span><h4>Generating fold change data from an existing CountFilter object<a class="headerlink" href="#generating-fold-change-data-from-an-existing-countfilter-object" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="generating-fold-change-data-from-an-existing-countfilter-object">
+<span id="fold-change-from-count-ref"></span><h4>Generating fold change data from an existing CountFilter object<a class="headerlink" href="#generating-fold-change-data-from-an-existing-countfilter-object" title="Permalink to this headline"></a></h4>
 <p>Alternatively, you can generate a <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> object from count data in a <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> object. We will start by loading a <a class="reference internal" href="glossary.html#term-CountFilter"><span class="xref std std-term">CountFilter</span></a> object:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">counts</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">CountFilter</span><span class="p">(</span><span class="s1">&#39;tests/test_files/counted_fold_change.csv&#39;</span><span class="p">)</span>
 </pre></div>
@@ -1102,9 +990,9 @@ <h4>Loading fold change data from a <cite>csv</cite> file<a class="headerlink" h
 </pre></div>
 </div>
 <p>We now have a <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> object that we can perform further filtering operations on.</p>
-</section>
-<section id="performing-randomization-tests-on-a-foldchangefilter-object">
-<h4>Performing randomization tests on a FoldChangeFilter object<a class="headerlink" href="#performing-randomization-tests-on-a-foldchangefilter-object" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="performing-randomization-tests-on-a-foldchangefilter-object">
+<h4>Performing randomization tests on a FoldChangeFilter object<a class="headerlink" href="#performing-randomization-tests-on-a-foldchangefilter-object" title="Permalink to this headline"></a></h4>
 <p>You can perform a randomization test to examine whether the fold change of a group of specific genomic features (for example, genes with a specific biological function) is significantly different than the fold change of a background set of genomic features.
 To perform a randomization test you need two <a class="reference internal" href="glossary.html#term-FoldChangeFilter"><span class="xref std std-term">FoldChangeFilter</span></a> objects: one which contains the fold change values of all background genes, and another which contains the fold change values of your specific group of interest. For example:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">f</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">FoldChangeFilter</span><span class="p">(</span><span class="s1">&#39;tests/test_files/fc_1.csv&#39;</span> <span class="p">,</span> <span class="s1">&#39;numerator&#39;</span> <span class="p">,</span> <span class="s1">&#39;denominator&#39;</span><span class="p">)</span>
@@ -1146,10 +1034,10 @@ <h4>Performing randomization tests on a FoldChangeFilter object<a class="headerl
 </tr>
 </tbody>
 </table>
-</section>
-</section>
-<section id="sequentially-applying-filtering-operations-using-pipelines">
-<h3>Sequentially applying filtering operations using Pipelines<a class="headerlink" href="#sequentially-applying-filtering-operations-using-pipelines" title="Permalink to this headline">¶</a></h3>
+</div>
+</div>
+<div class="section" id="sequentially-applying-filtering-operations-using-pipelines">
+<h3>Sequentially applying filtering operations using Pipelines<a class="headerlink" href="#sequentially-applying-filtering-operations-using-pipelines" title="Permalink to this headline"></a></h3>
 <p><a class="reference internal" href="glossary.html#term-Pipeline"><span class="xref std std-term">Pipeline</span></a> objects allow you to group together multiple operations from the <em>filtering</em> module (such as filtering, splitting, normalizing, plotting or describing your data), and apply this group of operations to :term:<a href="#id9"><span class="problematic" id="id10">`</span></a>Filter objects’ of your choice in a specific and consistent order.
 Pipelines make your workflow easier to read and understand, help you avoid repetitive code, and makes your analyses more reproducible and less error-prone.</p>
 <p>To create a new empty <a class="reference internal" href="glossary.html#term-Pipeline"><span class="xref std std-term">Pipeline</span></a>, simply create a new Pipeline object:</p>
@@ -1268,16 +1156,16 @@ <h3>Sequentially applying filtering operations using Pipelines<a class="headerli
 </div>
 <p>When an output dictionary is returned, the keys in the dictionary will be the name of the function appended to the number of call made to this function in the Pipeline (in the example above, the first call to ‘biotypes’ is under the key ‘biotypes_1’, and the second call to ‘biotypes’ is under the key ‘biotypes_2’); and the values in the dictionary will be the returned values from those functions.
 We can apply the same Pipeline to as many Filter objects as we want, as long as the type of the Filter object matches the Pipeline’s <cite>filter_type</cite>.</p>
-</section>
-</section>
-<section id="rnalysis-enrichment-module">
-<h2>RNAlysis enrichment module<a class="headerlink" href="#rnalysis-enrichment-module" title="Permalink to this headline">¶</a></h2>
+</div>
+</div>
+<div class="section" id="rnalysis-enrichment-module">
+<h2>RNAlysis enrichment module<a class="headerlink" href="#rnalysis-enrichment-module" title="Permalink to this headline"></a></h2>
 <p>RNAlysis’s enrichment module (rnalysis.enrichment) can be used to perform various enrichment analyses including Gene Ontology (GO) enrichment and enrichment for user-defined attributes. The module also includes basic set operations (union, intersection, difference, symmetric difference) between different sets of genomic features.</p>
-<section id="working-with-featureset-objects">
-<h3>Working with FeatureSet objects<a class="headerlink" href="#working-with-featureset-objects" title="Permalink to this headline">¶</a></h3>
+<div class="section" id="working-with-featureset-objects">
+<h3>Working with FeatureSet objects<a class="headerlink" href="#working-with-featureset-objects" title="Permalink to this headline"></a></h3>
 <p>The enrichment module is built around <a class="reference internal" href="glossary.html#term-FeatureSet"><span class="xref std std-term">FeatureSet</span></a> objects. A Featureset is a container for a set of gene/genomic feature IDs, and the set’s name (for example, ‘genes that are upregulated under hyperosmotic conditions’). All further anslyses of the set of features is done through the <a class="reference internal" href="glossary.html#term-FeatureSet"><span class="xref std std-term">FeatureSet</span></a> object.</p>
-<section id="initialize-an-featureset-object">
-<h4>Initialize an FeatureSet object<a class="headerlink" href="#initialize-an-featureset-object" title="Permalink to this headline">¶</a></h4>
+<div class="section" id="initialize-an-featureset-object">
+<h4>Initialize an FeatureSet object<a class="headerlink" href="#initialize-an-featureset-object" title="Permalink to this headline"></a></h4>
 <p>We will start by importing the enrichment module:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">enrichment</span>
 </pre></div>
@@ -1301,9 +1189,9 @@ <h4>Initialize an FeatureSet object<a class="headerlink" href="#initialize-an-fe
 </div>
 <p>At this point, you will be prompted to enter a string of feature indices seperated by newline. They will be automatically paresd into a python set.</p>
 <p>FeatureSet objects have two attributes: gene_set, a python set containing genomic feature indices; and set_name, a string that describes the feature set (optional).</p>
-</section>
-<section id="go-enrichment">
-<h4>GO Enrichment<a class="headerlink" href="#go-enrichment" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="go-enrichment">
+<h4>GO Enrichment<a class="headerlink" href="#go-enrichment" title="Permalink to this headline"></a></h4>
 <p>Using the <em>enrichment</em> module, you can perform enrichment analysis for Gene Ontology terms (GO enrichment).
 You can read more about Gene Ontology here: <a class="reference external" href="http://geneontology.org/docs/ontology-documentation/">http://geneontology.org/docs/ontology-documentation/</a></p>
 <p>To perform GO Enrichment analysis, we will start by creating an FeatureSet object:</p>
@@ -1311,17 +1199,17 @@ <h4>GO Enrichment<a class="headerlink" href="#go-enrichment" title="Permalink to
 <span class="gp">&gt;&gt;&gt; </span><span class="n">en</span> <span class="o">=</span> <span class="n">enrichment</span><span class="o">.</span><span class="n">FeatureSet</span><span class="p">(</span><span class="n">counts</span><span class="o">.</span><span class="n">index_set</span><span class="p">,</span> <span class="s1">&#39;my set&#39;</span><span class="p">)</span>
 </pre></div>
 </div>
-<section id="define-the-correct-organism-and-gene-id-type-for-your-dataset">
-<h5>Define the correct <em>organism</em> and <em>gene ID type</em> for your dataset<a class="headerlink" href="#define-the-correct-organism-and-gene-id-type-for-your-dataset" title="Permalink to this headline">¶</a></h5>
+<div class="section" id="define-the-correct-organism-and-gene-id-type-for-your-dataset">
+<h5>Define the correct <em>organism</em> and <em>gene ID type</em> for your dataset<a class="headerlink" href="#define-the-correct-organism-and-gene-id-type-for-your-dataset" title="Permalink to this headline"></a></h5>
 <p>Since GO annotations refer to specific gene products, which can differ between different species, RNAlysis needs to know which organism your dataset refers to.
 The organism can be specified as either the organism’s name, or the organism’s <em>NCBI Taxon ID</em> (for example: 6239 for <em>Caenorhabditis elegans</em>).</p>
 <p>It is recommended to manually determine your organism’s <em>NCBI Taxon ID</em> to avoid mischaracterization of annotations.
 However, if you are not sure, RNAlysis will attempt to automatically determine the correct <cite>organism</cite> by default, based on the gene IDs in your FeatureSet.</p>
 <p>Furthermore, since different annotations use different gene ID types to annotate the same gene products (such as UniProtKB ID, Entrez Gene ID, or Wormbase WBGene), RNAlysis can translate gene IDs from one gene ID type to another.
 In order to do that, you need to specify which gene ID type your dataset uses.</p>
-</section>
-<section id="define-the-background-set">
-<h5>Define the background set<a class="headerlink" href="#define-the-background-set" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="define-the-background-set">
+<h5>Define the background set<a class="headerlink" href="#define-the-background-set" title="Permalink to this headline"></a></h5>
 <p>In enrichment analysis, we test whether our set of genomic features is enriched/depleted for a certain <em>GO Term</em>, in comparison to a more generalized set of genomic features that we determined as ‘background’.
 This could be the set of all protein-coding genes, the set of all genomic features that show expression above a certain threshold, or any other set of background genes which you deem appropriate. Importantly, the background set must contain all of the genes in the enrichment set.</p>
 <p>Enrichment analysis is usually performed on protein-coding genes. Therefore, by default, RNAlysis uses all of the protein-coding genes that have at least one GO Annotation as a background set.
@@ -1340,9 +1228,9 @@ <h5>Define the background set<a class="headerlink" href="#define-the-background-
 <p>In this example, our background set consists of <em>feature1</em>, <em>feature2</em> and <em>feature3</em>.</p>
 <p>It is not possible to specify both a biotype and a specific background set.</p>
 <p>If some of the features in the background set or the enrichment set do no appear in the Reference Table, they will be ignored when calculating enrichment.</p>
-</section>
-<section id="choose-the-statistical-test-optional">
-<h5>Choose the statistical test (optional)<a class="headerlink" href="#choose-the-statistical-test-optional" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="choose-the-statistical-test-optional">
+<h5>Choose the statistical test (optional)<a class="headerlink" href="#choose-the-statistical-test-optional" title="Permalink to this headline"></a></h5>
 <p>Significance testing for GO enrichment analysis can be done using either the Hypergeometric Test, Fisher’s Exact Test, or a randomization test.</p>
 <p>The hypergeometric test is defined as: Given <em>M</em> genes in the background set, <em>n</em> genes in the test set, with <em>N</em> genes from the background set belonging to a specific attribute (‘success’) and <em>X</em> genes from the test set belonging to that attribute.
 If we were to randomly draw <em>n</em> genes from the background set (without replacement), what is the probability of drawing <em>X</em> or more (in case of enrichment)/<em>X</em> or less (in case of depletion) genes belonging to the given attribute?</p>
@@ -1356,9 +1244,9 @@ <h5>Choose the statistical test (optional)<a class="headerlink" href="#choose-th
 <p>If you don’t specify which statistical test you want to use, the Fisher’s Exact Test will be used by default.</p>
 <p>To choose the statistical test you want to use, utilize the <cite>statistical_test</cite> parameter, which accepts either ‘fisher’, ‘hypergeometric’, or ‘randomization’.
 If you choose to use a randomization test, you can specify the number of randomization repititions to run using the <cite>randomization_reps</cite> parameter, and set the random seed using the <cite>random_seed</cite> parameter.</p>
-</section>
-<section id="filter-go-terms-by-go-aspects-optional">
-<h5>Filter GO Terms by <em>GO aspects</em> (optional)<a class="headerlink" href="#filter-go-terms-by-go-aspects-optional" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="filter-go-terms-by-go-aspects-optional">
+<h5>Filter GO Terms by <em>GO aspects</em> (optional)<a class="headerlink" href="#filter-go-terms-by-go-aspects-optional" title="Permalink to this headline"></a></h5>
 <p>Gene Ontology considers three discrete aspects by which gene products can be described:</p>
 <ol class="arabic simple">
 <li><p>Biological process - the general ‘biological objective’ the gene product contributes to (e.g. ‘locomotion’, ‘cell-cell signaling by wnt’)</p></li>
@@ -1368,9 +1256,9 @@ <h5>Filter GO Terms by <em>GO aspects</em> (optional)<a class="headerlink" href=
 <p>Every GO term is exclusively associated with one of these <em>GO aspects</em>.
 If you are interested in testing enrichment only for GO terms associated with a subset of these <em>GO aspects</em> you can specify which <em>GO aspects</em> to use through the <cite>aspects</cite> parameter.</p>
 <p>If you don’t specify <em>GO aspects</em> to be included, RNAlysis will test enrichment for GO Terms from all <em>GO aspects</em> by default.</p>
-</section>
-<section id="filter-go-annotations-by-evidence-codes-optional">
-<h5>Filter GO Annotations by Evidence Codes (optional)<a class="headerlink" href="#filter-go-annotations-by-evidence-codes-optional" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="filter-go-annotations-by-evidence-codes-optional">
+<h5>Filter GO Annotations by Evidence Codes (optional)<a class="headerlink" href="#filter-go-annotations-by-evidence-codes-optional" title="Permalink to this headline"></a></h5>
 <p>Every GO annotations is supported by an evidence code, which specifies what kind of evidence supports this annotation.
 Evidence codes are divided into six categories:</p>
 <ol class="arabic simple">
@@ -1387,15 +1275,15 @@ <h5>Filter GO Annotations by Evidence Codes (optional)<a class="headerlink" href
 <p>If you don’t specify evidence types to be included/excluded, RNAlysis will use annotations with all evidence codes by default.</p>
 <p>You can read more about GO evidence codes here:
 <a class="reference external" href="http://geneontology.org/docs/guide-go-evidence-codes/">http://geneontology.org/docs/guide-go-evidence-codes/</a></p>
-</section>
-<section id="filter-go-annotations-by-database-optional">
-<h5>Filter GO Annotations by database (optional)<a class="headerlink" href="#filter-go-annotations-by-database-optional" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="filter-go-annotations-by-database-optional">
+<h5>Filter GO Annotations by database (optional)<a class="headerlink" href="#filter-go-annotations-by-database-optional" title="Permalink to this headline"></a></h5>
 <p>GO annotations are curated by different databases, such as UniProt, WormBase, or The Arabidopsis Information Resource.
 You can choose to include only annotations from specific databases, or to exclude annotations from specific databases, using the <cite>databases</cite> and <cite>excluded_databases</cite> parameters.</p>
 <p>If you don’t specify databases to be included/excluded, RNAlysis will use annotations from all databases by default.</p>
-</section>
-<section id="filter-go-annotations-by-qualifiers-optional">
-<h5>Filter GO Annotations by Qualifiers (optional)<a class="headerlink" href="#filter-go-annotations-by-qualifiers-optional" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="filter-go-annotations-by-qualifiers-optional">
+<h5>Filter GO Annotations by Qualifiers (optional)<a class="headerlink" href="#filter-go-annotations-by-qualifiers-optional" title="Permalink to this headline"></a></h5>
 <p>Some GO annotations are modified by qualifiers. Each qualifier has a specific meaning within Gene Ontology:</p>
 <p>1. the <em>NOT</em> qualifier - an explicit annotation that this particular gene product has been experimentally demonstrated <em>not</em> to be associated with the particular GO term.
 Annotations with the <em>NOT</em> qualifier are usually ignored during enrichment analysis.
@@ -1405,18 +1293,16 @@ <h5>Filter GO Annotations by Qualifiers (optional)<a class="headerlink" href="#f
 <p>If you don’t specify qualifiers to be included/excluded, RNAlysis will ignore annotations with the <em>NOT</em> qualifier by default, and use annotations with any other qualifiers (or no qualifiers at all).</p>
 <p>You can read more about GO qualifiers here:
 <a class="reference external" href="http://geneontology.org/docs/go-annotations/">http://geneontology.org/docs/go-annotations/</a></p>
-</section>
-<section id="choose-annotation-propagation-method-optional">
-<h5>Choose annotation propagation method (optional)<a class="headerlink" href="#choose-annotation-propagation-method-optional" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="choose-annotation-propagation-method-optional">
+<h5>Choose annotation propagation method (optional)<a class="headerlink" href="#choose-annotation-propagation-method-optional" title="Permalink to this headline"></a></h5>
 <p>Gene Ontology terms have a somewhat hierarchical relationship that is defined as a directed a-cyclic graph (DAG). This means that each GO term is a node in the graph, and that each node has defined parents that are less specific than itself, going up to the top of the graph.</p>
 <p>For example:</p>
 <blockquote>
-<div><figure class="align-center" id="id40">
+<div><div class="figure align-center" id="id40">
 <a class="reference internal image-reference" href="http://geneontology.org/assets/hexose-biosynthetic-process.png"><img alt="http://geneontology.org/assets/hexose-biosynthetic-process.png" src="http://geneontology.org/assets/hexose-biosynthetic-process.png" /></a>
-<figcaption>
-<p><span class="caption-text">taken from the Gene Ontology Consortium site</span><a class="headerlink" href="#id40" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">taken from the Gene Ontology Consortium site</span><a class="headerlink" href="#id40" title="Permalink to this image"></a></p>
+</div>
 </div></blockquote>
 <p>We can see that in this example the GO term ‘hexose biosynthetic process’ has two parents, one of which is the less specific term ‘hexose metabolic process’, and these relationships go all the way up to the GO term ‘metabolic process’.</p>
 <p>Due to the relationships defined between GO terms, when a gene is annotated with a specific GO term, it makes sense that all of the less-specific parents of this GO term will also apply to said gene.
@@ -1430,35 +1316,31 @@ <h5>Choose annotation propagation method (optional)<a class="headerlink" href="#
 <p>RNAlysis implements three of these propagation methods: <em>elim</em>, <em>weight</em>, and <em>all.m</em>.
 You can decide which propagation method to use by specifying the <cite>propagation_method</cite> parameter: ‘no’ for no propagation of GO annotations, ‘classic’ for classic propagation of GO annotations, and ‘elim’/’weight’/’all.m’ for propagation using the <em>elim</em>/<em>weight</em>/<em>all.m</em> propagation algorithms.</p>
 <p>If you don’t specify which propagation method to use in enrichment analysis, the <em>elim</em> method will be used by default.</p>
-</section>
-<section id="choose-plotting-parameters-optional">
-<h5>Choose plotting parameters (optional)<a class="headerlink" href="#choose-plotting-parameters-optional" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="choose-plotting-parameters-optional">
+<h5>Choose plotting parameters (optional)<a class="headerlink" href="#choose-plotting-parameters-optional" title="Permalink to this headline"></a></h5>
 <p>After RNALysis is done calculating the results of your enrichment analysis, it will automatically plot a summary of the enrichment results.
 RNAlysis plots the results as a bar plot, with the Y axis showing log2 fold enrichment, and asterisks indicating whether this enrichment is statistically significant after correcting for multiple comparisons.</p>
 <p>You can determine the orientation of the bar plot (horizontal or vertical) using the <cite>plot_horizontal</cite> parameter:</p>
 <blockquote>
-<div><figure class="align-center" id="id41">
+<div><div class="figure align-center" id="id41">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 224.0px; height: 260.8px;" /></a>
-<figcaption>
-<p><span class="caption-text"><a href="#id11"><span class="problematic" id="id12">`</span></a>plot_horizontal`=True</span><a class="headerlink" href="#id41" title="Permalink to this image">¶</a></p>
+<p class="caption"><span class="caption-text"><a href="#id11"><span class="problematic" id="id12">`</span></a>plot_horizontal`=True</span><a class="headerlink" href="#id41" title="Permalink to this image"></a></p>
 <div class="legend">
 </div>
-</figcaption>
-</figure>
-<figure class="align-center" id="id42">
+</div>
+<div class="figure align-center" id="id42">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 327.6px; height: 222.4px;" /></a>
-<figcaption>
-<p><span class="caption-text"><a href="#id13"><span class="problematic" id="id14">`</span></a>plot_horizontal`=False</span><a class="headerlink" href="#id42" title="Permalink to this image">¶</a></p>
+<p class="caption"><span class="caption-text"><a href="#id13"><span class="problematic" id="id14">`</span></a>plot_horizontal`=False</span><a class="headerlink" href="#id42" title="Permalink to this image"></a></p>
 <div class="legend">
 </div>
-</figcaption>
-</figure>
+</div>
 </div></blockquote>
 <p>If you want to further customize this plot, you can request RNAlysis to return a Matplotlib Figure object of the barplot, by using the <cite>return_fig</cite> parameter.</p>
 <p>If you don’t specify plotting parameters, RNALysis will generate a horizontal bar plot by default, and will not return a Matplotlib Figure object of the bar plot.</p>
-</section>
-<section id="enrichment-analysis-output">
-<h5>Enrichment analysis output<a class="headerlink" href="#enrichment-analysis-output" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="enrichment-analysis-output">
+<h5>Enrichment analysis output<a class="headerlink" href="#enrichment-analysis-output" title="Permalink to this headline"></a></h5>
 <p>Running enrichment analysis will calculate enrichment for each of the specified attributes, and return a pandas DataFrame in the following format:</p>
 <table class="docutils align-default">
 <colgroup>
@@ -1509,25 +1391,25 @@ <h5>Enrichment analysis output<a class="headerlink" href="#enrichment-analysis-o
 </table>
 <p>‘samples’ is the number of features that were used in the enrichment set. ‘obs’ is the observed number of features positive for the attribute in the enrichment set.
 ‘exp’ is the expected number of features positive for the attribute in the background set. ‘log2_fold_enrichment’ is log2 of the fold change ‘obs’/’exp’.</p>
-</section>
-</section>
-<section id="enrichment-analysis-for-user-defined-attributes">
-<h4>Enrichment analysis for user-defined attributes<a class="headerlink" href="#enrichment-analysis-for-user-defined-attributes" title="Permalink to this headline">¶</a></h4>
+</div>
+</div>
+<div class="section" id="enrichment-analysis-for-user-defined-attributes">
+<h4>Enrichment analysis for user-defined attributes<a class="headerlink" href="#enrichment-analysis-for-user-defined-attributes" title="Permalink to this headline"></a></h4>
 <p>Using the <em>enrichment</em> module, you can perform enrichment analysis for user-defined attributes (such as ‘genes expressed in intestine’, ‘epigenetic genes’, ‘genes that have paralogs’). The enrichment analysis can be performed using either the hypergeometric test or a randomization test.</p>
 <p>Enrichment analysis for user-defined attributes is performed using either FeatureSet.enrich_hypergeometric, FeatureSet.enrich_randomization or FeatureSet.enrich_randomization_parallel. We will start by creating an FeatureSet object:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">counts</span> <span class="o">=</span> <span class="n">filtering</span><span class="o">.</span><span class="n">CountFilter</span><span class="p">(</span><span class="s1">&#39;path_to_my_file.csv&#39;</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">en</span> <span class="o">=</span> <span class="n">enrichment</span><span class="o">.</span><span class="n">FeatureSet</span><span class="p">(</span><span class="n">counts</span><span class="o">.</span><span class="n">index_set</span><span class="p">,</span> <span class="s1">&#39;my set&#39;</span><span class="p">)</span>
 </pre></div>
 </div>
-<section id="choose-which-user-defined-attributes-to-calculate-enrichment-for">
-<h5>Choose which user-defined attributes to calculate enrichment for<a class="headerlink" href="#choose-which-user-defined-attributes-to-calculate-enrichment-for" title="Permalink to this headline">¶</a></h5>
+<div class="section" id="choose-which-user-defined-attributes-to-calculate-enrichment-for">
+<h5>Choose which user-defined attributes to calculate enrichment for<a class="headerlink" href="#choose-which-user-defined-attributes-to-calculate-enrichment-for" title="Permalink to this headline"></a></h5>
 <p>Our attributes should be defined in a Reference Table <cite>csv</cite> file. You can read more about Reference Tables and their format in the section <a class="reference internal" href="#reference-table-ref"><span class="std std-ref">Set and load a Reference Table</span></a>.
 Once we have a Reference Table, we can perform enrichment analysis for those attributes using the function FeatureSet.enrich_randomization.
 If your Reference Tables are set to be the default Reference Tables (as explained in <a class="reference internal" href="#reference-table-ref"><span class="std std-ref">Set and load a Reference Table</span></a>) you do not need to specify them when calling enrich_randomization. Otherwise, you need to specify your Reference Tables’ path.
 The names of the attributes you want to calculate enrichment for can be specified as a list of names (for example, [‘attribute1’, ‘attribute2’]).</p>
-</section>
-<section id="id15">
-<h5>Define the background set<a class="headerlink" href="#id15" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="id15">
+<h5>Define the background set<a class="headerlink" href="#id15" title="Permalink to this headline"></a></h5>
 <p>In enrichment analysis, we test whether our set of genomic features is enriched/depleted for a certain attribute, in comparison to a more generalized set of genomic features that we determined as ‘background’.
 This could be the set of all protein-coding genes, the set of all genomic features that show expression above a certain threshold, or any other set of background genes which you deem appropriate. Importantly, the background set must contain all of the genes in the enrichment set.</p>
 <p>Enrichment analysis is usually performed on protein-coding genes. Therefore, by default, RNAlysis uses all of the protein-coding genes that appear in the Attribute Reference Table as a background set.
@@ -1546,9 +1428,9 @@ <h5>Define the background set<a class="headerlink" href="#id15" title="Permalink
 <p>In this example, our background set consists of feature1, feature2 and feature3.</p>
 <p>It is not possible to specify both a biotype and a specific background set.</p>
 <p>If some of the features in the background set or the enrichment set do no appear in the Reference Table, they will be ignored when calculating enrichment.</p>
-</section>
-<section id="id16">
-<h5>Choose the statistical test (optional)<a class="headerlink" href="#id16" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="id16">
+<h5>Choose the statistical test (optional)<a class="headerlink" href="#id16" title="Permalink to this headline"></a></h5>
 <p>Significance testing for enrichment analysis can be done using either the Hypergeometric Test, Fisher’s Exact Test, or a randomization test.</p>
 <p>The hypergeometric test is defined as: Given <em>M</em> genes in the background set, <em>n</em> genes in the test set, with <em>N</em> genes from the background set belonging to a specific attribute (‘success’) and <em>X</em> genes from the test set belonging to that attribute.
 If we were to randomly draw <em>n</em> genes from the background set (without replacement), what is the probability of drawing <em>X</em> or more (in case of enrichment)/<em>X</em> or less (in case of depletion) genes belonging to the given attribute?</p>
@@ -1562,34 +1444,30 @@ <h5>Choose the statistical test (optional)<a class="headerlink" href="#id16" tit
 <p>If you don’t specify which statistical test you want to use, the Fisher’s Exact Test will be used by default.</p>
 <p>To choose the statistical test you want to use, utilize the <cite>statistical_test</cite> parameter, which accepts either ‘fisher’, ‘hypergeometric’, or ‘randomization’.
 If you choose to use a randomization test, you can specify the number of randomization repititions to run using the <cite>randomization_reps</cite> parameter, and set the random seed using the <cite>random_seed</cite> parameter.</p>
-</section>
-<section id="id17">
-<h5>Choose plotting parameters (optional)<a class="headerlink" href="#id17" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="id17">
+<h5>Choose plotting parameters (optional)<a class="headerlink" href="#id17" title="Permalink to this headline"></a></h5>
 <p>After performing enrichment analysis, RNAlysis will automatically plot a summary of your enrichment results as a bar plot of log-transformed enrichment scores.
 You can determine the orientation of the bar plot (horizontal or vertical) using the <cite>plot_horizontal</cite> parameter:</p>
 <blockquote>
-<div><figure class="align-center" id="id43">
+<div><div class="figure align-center" id="id43">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results.png"><img alt="_images/plot_enrichment_results.png" src="_images/plot_enrichment_results.png" style="width: 224.0px; height: 260.8px;" /></a>
-<figcaption>
-<p><span class="caption-text"><a href="#id18"><span class="problematic" id="id19">`</span></a>plot_horizontal`=True</span><a class="headerlink" href="#id43" title="Permalink to this image">¶</a></p>
+<p class="caption"><span class="caption-text"><a href="#id18"><span class="problematic" id="id19">`</span></a>plot_horizontal`=True</span><a class="headerlink" href="#id43" title="Permalink to this image"></a></p>
 <div class="legend">
 </div>
-</figcaption>
-</figure>
-<figure class="align-center" id="id44">
+</div>
+<div class="figure align-center" id="id44">
 <a class="reference internal image-reference" href="_images/plot_enrichment_results_vertical.png"><img alt="_images/plot_enrichment_results_vertical.png" src="_images/plot_enrichment_results_vertical.png" style="width: 327.6px; height: 222.4px;" /></a>
-<figcaption>
-<p><span class="caption-text"><a href="#id20"><span class="problematic" id="id21">`</span></a>plot_horizontal`=False</span><a class="headerlink" href="#id44" title="Permalink to this image">¶</a></p>
+<p class="caption"><span class="caption-text"><a href="#id20"><span class="problematic" id="id21">`</span></a>plot_horizontal`=False</span><a class="headerlink" href="#id44" title="Permalink to this image"></a></p>
 <div class="legend">
 </div>
-</figcaption>
-</figure>
+</div>
 </div></blockquote>
 <p>If you want to further customize your plot, you can retreive the matplotlib Figure object of your plot using the <cite>return_fig</cite> parameter.
 When it is set as ‘True’, RNALysis will return the Figure object it generated in addition to the results table.</p>
-</section>
-<section id="id22">
-<h5>Enrichment analysis output<a class="headerlink" href="#id22" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="id22">
+<h5>Enrichment analysis output<a class="headerlink" href="#id22" title="Permalink to this headline"></a></h5>
 <p>Running enrichment analysis will calculate enrichment for each of the specified attributes, and return a pandas DataFrame in the following format:</p>
 <table class="docutils align-default">
 <colgroup>
@@ -1636,21 +1514,21 @@ <h5>Enrichment analysis output<a class="headerlink" href="#id22" title="Permalin
 </table>
 <p>‘samples’ is the number of features that were used in the enrichment set. ‘obs’ is the observed number of features positive for the attribute in the enrichment set.
 ‘exp’ is the expected number of features positive for the attribute in the background set. ‘log2_fold_enrichment’ is log2 of the fold change ‘obs’/’exp’.</p>
-</section>
-</section>
-<section id="performing-enrichment-analysis-for-non-categorical-user-defined-attributes">
-<h4>Performing enrichment analysis for non-categorical user-defined attributes<a class="headerlink" href="#performing-enrichment-analysis-for-non-categorical-user-defined-attributes" title="Permalink to this headline">¶</a></h4>
+</div>
+</div>
+<div class="section" id="performing-enrichment-analysis-for-non-categorical-user-defined-attributes">
+<h4>Performing enrichment analysis for non-categorical user-defined attributes<a class="headerlink" href="#performing-enrichment-analysis-for-non-categorical-user-defined-attributes" title="Permalink to this headline"></a></h4>
 <p>Instead of peforming enrichment analysis for categorical attributes (“genes which are expressed exclusively in neurons”, “genes enriched in males”, “epigenetic gene-products”, etc), you can test whether your FeatureSet is enriched for a non-categorical attribute (“number of paralogs”, “gene length”, or any other numeric attribute) using the function <cite>FeatureSet.non_categorical_enrichment()</cite>.</p>
-<section id="choose-which-user-defined-non-categorical-attributes-to-calculate-enrichment-for">
-<h5>Choose which user-defined non-categorical attributes to calculate enrichment for<a class="headerlink" href="#choose-which-user-defined-non-categorical-attributes-to-calculate-enrichment-for" title="Permalink to this headline">¶</a></h5>
+<div class="section" id="choose-which-user-defined-non-categorical-attributes-to-calculate-enrichment-for">
+<h5>Choose which user-defined non-categorical attributes to calculate enrichment for<a class="headerlink" href="#choose-which-user-defined-non-categorical-attributes-to-calculate-enrichment-for" title="Permalink to this headline"></a></h5>
 <p>The attributes should be defined in an Attribute Reference Table <cite>csv</cite> file. You can read more about Reference Tables and their format in the section <a class="reference internal" href="#reference-table-ref"><span class="std std-ref">Set and load a Reference Table</span></a>.
 Once we have an Attirubte Reference Table, we can perform enrichment analysis for those non-categorical attributes using the function <cite>FeatureSet.non_categorical_enrichment</cite>.
 If your Reference Tables are set to be the default Reference Tables (as explained in <a class="reference internal" href="#reference-table-ref"><span class="std std-ref">Set and load a Reference Table</span></a>) you do not need to specify them when calling non_categorical_enrichment. Otherwise, you need to specify your Reference Tables’ path.
 The names of the attributes you want to calculate enrichment for can be specified as a list of names (for example, [‘attribute1’, ‘attribute2’]).</p>
 <p>Note that the variables you use for non-categorical enrichment analysis must be non-categorical, and must be defined for every genomic feature in the background and test sets (meaning, no NaN values).</p>
-</section>
-<section id="id23">
-<h5>Define the background set<a class="headerlink" href="#id23" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="id23">
+<h5>Define the background set<a class="headerlink" href="#id23" title="Permalink to this headline"></a></h5>
 <p>In enrichment analysis, we test whether our set of genomic features is enriched/depleted for a certain attribute, in comparison to a more generalized set of genomic features that we determined as ‘background’.
 This could be the set of all protein-coding genes, the set of all genomic features that show expression above a certain threshold, or any other set of background genes which you deem appropriate. Importantly, the background set must contain all of the genes in the enrichment set.</p>
 <p>Enrichment analysis is usually performed on protein-coding genes. Therefore, by default, RNAlysis uses all of the protein-coding genes that appear in the Attribute Reference Table as a background set.
@@ -1669,17 +1547,17 @@ <h5>Define the background set<a class="headerlink" href="#id23" title="Permalink
 <p>In this example, our background set consists of feature1, feature2 and feature3.</p>
 <p>It is not possible to specify both a biotype and a specific background set.</p>
 <p>If some of the features in the background set or the enrichment set do no appear in the Reference Table, they will be ignored when calculating enrichment.</p>
-</section>
-<section id="id24">
-<h5>Choose the statistical test (optional)<a class="headerlink" href="#id24" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="id24">
+<h5>Choose the statistical test (optional)<a class="headerlink" href="#id24" title="Permalink to this headline"></a></h5>
 <p>When calculating enrichment for a non-categorical attribute, you can use either a parametric or non-parametric statistical test.</p>
 <p>If the <cite>parametric_test</cite> parameter is True, RNAlysis will calculate enrichment using the <em>one-sample Student’s T-test</em>, comparing the value of the non-categorical attribute in your enrichment set to the mean value of the non-categorical attribute in the background set.</p>
 <p>If the <cite>parametric_test</cite> parameter is False, RNAlysis will calculate enrichment using the non-parametric <em>one-sample Sign test</em>, comparing the value of the non-categorical attribute in your enrichment set to the median value of the non-categorical attribute in the background set.</p>
 <p>The parametric T-test assumes that the values of your non-categorical attribute distribute normally. Therefore, if you are not sure your data meets this assumption, it is recommended to use the less-powerful non-parametric test.</p>
 <p>If you don’t specify the statistical test, RNAlysis will automatically use a non-parametric test.</p>
-</section>
-<section id="id25">
-<h5>Choose plotting parameters (optional)<a class="headerlink" href="#id25" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="id25">
+<h5>Choose plotting parameters (optional)<a class="headerlink" href="#id25" title="Permalink to this headline"></a></h5>
 <p>The results of non-categorical enrichment analysis will be plotted as a histogram, comparing the distribution of the non-categorical attribute within the enrichment set compared to the background set.
 If you used a parametric test, the mean of each set will be marked on the histogram. Alternatively, if you used a non-parametric test, the median of each set will be marked on the graph.
 The enrichment results of each attribute will be plotted in a different Figure.</p>
@@ -1687,29 +1565,25 @@ <h5>Choose plotting parameters (optional)<a class="headerlink" href="#id25" titl
 <p><cite>plot_log_scale</cite> can accept either <cite>True</cite> or <cite>False</cite>, and will determine whether the X-axis of the histogram will be plotting on a logarithmic or linear scale.</p>
 <p><a href="#id26"><span class="problematic" id="id27">`</span></a>plot_style’ can accept either ‘overlap’ or ‘interleaved’, and will draw the histogram in one of the following two styles:</p>
 <blockquote>
-<div><figure class="align-center" id="id45">
+<div><div class="figure align-center" id="id45">
 <a class="reference internal image-reference" href="_images/hist_overlap.png"><img alt="_images/hist_overlap.png" src="_images/hist_overlap.png" style="width: 480.0px; height: 238.4px;" /></a>
-<figcaption>
-<p><span class="caption-text"><a href="#id28"><span class="problematic" id="id29">`</span></a>plot_style`=’overlap’</span><a class="headerlink" href="#id45" title="Permalink to this image">¶</a></p>
+<p class="caption"><span class="caption-text"><a href="#id28"><span class="problematic" id="id29">`</span></a>plot_style`=’overlap’</span><a class="headerlink" href="#id45" title="Permalink to this image"></a></p>
 <div class="legend">
 </div>
-</figcaption>
-</figure>
-<figure class="align-center" id="id46">
+</div>
+<div class="figure align-center" id="id46">
 <a class="reference internal image-reference" href="_images/hist_interleaved.png"><img alt="_images/hist_interleaved.png" src="_images/hist_interleaved.png" style="width: 480.0px; height: 238.4px;" /></a>
-<figcaption>
-<p><span class="caption-text"><a href="#id30"><span class="problematic" id="id31">`</span></a>plot_style`=’interleaved’</span><a class="headerlink" href="#id46" title="Permalink to this image">¶</a></p>
+<p class="caption"><span class="caption-text"><a href="#id30"><span class="problematic" id="id31">`</span></a>plot_style`=’interleaved’</span><a class="headerlink" href="#id46" title="Permalink to this image"></a></p>
 <div class="legend">
 </div>
-</figcaption>
-</figure>
+</div>
 </div></blockquote>
 <p>If you don’t specify plotting parameters, RNAlysis will plot the histogram on a logarithmic scale using the ‘overlap’ style by default.</p>
 <p>If you want to further customize your plot, you can retreive the matplotlib Figure object of your plot using the <cite>return_fig</cite> parameter.
 When it is set as ‘True’, RNALysis will return the Figure object it generated in addition to the results table.</p>
-</section>
-<section id="non-categorical-enrichment-analysis-output">
-<h5>Non-Categorical Enrichment analysis output<a class="headerlink" href="#non-categorical-enrichment-analysis-output" title="Permalink to this headline">¶</a></h5>
+</div>
+<div class="section" id="non-categorical-enrichment-analysis-output">
+<h5>Non-Categorical Enrichment analysis output<a class="headerlink" href="#non-categorical-enrichment-analysis-output" title="Permalink to this headline"></a></h5>
 <p>Running non-categorical enrichment analysis will calculate enrichment for each of the specified attributes, and return a pandas DataFrame in the following format:</p>
 <table class="docutils align-default">
 <colgroup>
@@ -1752,10 +1626,10 @@ <h5>Non-Categorical Enrichment analysis output<a class="headerlink" href="#non-c
 </table>
 <p>‘samples’ is the number of features that were used in the enrichment set. ‘obs’ is the observed mean/median (depending if the statistical test was parametric or not) value of the non-categorical attribute in the enrichment set.
 ‘exp’ is the expected mean/median value of the non-categorical attribute in the background set.</p>
-</section>
-</section>
-<section id="performing-set-operations-and-visualisation-on-multiple-featureset-objects">
-<h4>Performing set operations and visualisation on multiple FeatureSet objects<a class="headerlink" href="#performing-set-operations-and-visualisation-on-multiple-featureset-objects" title="Permalink to this headline">¶</a></h4>
+</div>
+</div>
+<div class="section" id="performing-set-operations-and-visualisation-on-multiple-featureset-objects">
+<h4>Performing set operations and visualisation on multiple FeatureSet objects<a class="headerlink" href="#performing-set-operations-and-visualisation-on-multiple-featureset-objects" title="Permalink to this headline"></a></h4>
 <p>Similarly to Filter objects, it is possible to use set operations such as union, intersection, difference and symmetric difference to combine the feature sets of multiple FeatureSet objects. Those set operations can be applied to both FeatureSet objects and python sets. The objects don’t have to be of the same subtype - you can, for example, look at the union of an FeatureSet object and a python set:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">en</span> <span class="o">=</span> <span class="n">enrichment</span><span class="o">.</span><span class="n">FeatureSet</span><span class="p">({</span><span class="s1">&#39;WBGene00003002&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00004201&#39;</span><span class="p">,</span><span class="s1">&#39;WBGene00300139&#39;</span><span class="p">})</span>
 
@@ -1768,42 +1642,38 @@ <h4>Performing set operations and visualisation on multiple FeatureSet objects<a
 Both functions receive a similar input: a dictionary whose keys are the names of the sets, and values are either FeatureSet objects, Filter objects, sets of genomic feature names, or the name of an attribute from the <a class="reference internal" href="glossary.html#term-Attribute-Reference-Table"><span class="xref std std-term">Attribute Reference Table</span></a> (you can read more about attributes in <a class="reference internal" href="#reference-table-ref"><span class="std std-ref">Set and load a Reference Table</span></a>).
 Venn diagrams are limited to 2-3 sets:</p>
 <blockquote>
-<div><figure class="align-center" id="id47">
+<div><div class="figure align-center" id="id47">
 <a class="reference internal image-reference" href="_images/venn.png"><img alt="_images/venn.png" src="_images/venn.png" style="width: 550.1999999999999px; height: 416.5px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id47" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id47" title="Permalink to this image"></a></p>
+</div>
 </div></blockquote>
 <p>While UpSet plots can include any number of sets:</p>
 <blockquote>
-<div><figure class="align-center" id="id48">
+<div><div class="figure align-center" id="id48">
 <a class="reference internal image-reference" href="_images/upsetplot.png"><img alt="_images/upsetplot.png" src="_images/upsetplot.png" style="width: 552.3px; height: 340.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id48" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id48" title="Permalink to this image"></a></p>
+</div>
 </div></blockquote>
-</section>
-<section id="saving-indices-from-featureset-to-a-txt-file">
-<h4>Saving indices from FeatureSet to a .txt file<a class="headerlink" href="#saving-indices-from-featureset-to-a-txt-file" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="saving-indices-from-featureset-to-a-txt-file">
+<h4>Saving indices from FeatureSet to a .txt file<a class="headerlink" href="#saving-indices-from-featureset-to-a-txt-file" title="Permalink to this headline"></a></h4>
 <p>It is possible to save the feature indices from an FeatureSet object to a .txt file, for use in online enrichment tools or simply to share the list of genomic features. This is done with the ‘save_txt’ function:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">en</span><span class="o">.</span><span class="n">save_txt</span><span class="p">(</span><span class="s1">&#39;D:\path</span><span class="se">\f</span><span class="s1">ilename&#39;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p>The feature indices will be saved to the text file in the specified path, separated by newline (’n’).</p>
-</section>
-</section>
-<section id="working-with-rankedset-objects">
-<h3>Working with RankedSet objects<a class="headerlink" href="#working-with-rankedset-objects" title="Permalink to this headline">¶</a></h3>
+<p>The feature indices will be saved to the text file in the specified path, separated by newline (‘n’).</p>
+</div>
+</div>
+<div class="section" id="working-with-rankedset-objects">
+<h3>Working with RankedSet objects<a class="headerlink" href="#working-with-rankedset-objects" title="Permalink to this headline"></a></h3>
 <p>The <a class="reference internal" href="glossary.html#term-RankedSet"><span class="xref std std-term">RankedSet</span></a> class represents a set of genomic features which are ranked by an inherent order. For example, genes could be ranked based on their mean expression level, their fold change between a pair of conditions, etc.
 <a class="reference internal" href="glossary.html#term-RankedSet"><span class="xref std std-term">RankedSet</span></a> objects behave similarly to <a class="reference internal" href="glossary.html#term-FeatureSet"><span class="xref std std-term">FeatureSet</span></a> objects, but in addition they support <em>single-set enrichment analysis</em> - enrichment analysis without a background set.</p>
 <p>The statistical test used to test significance in <em>single-set enrichment analysis</em> is the <em>generalized minimum hypergeometric test (XL-mHG)</em>, which measures the enrichment of the genomic features at the top and bottom of your ranked gene set compared to the rest of the gene set.
 You can read more about the <em>minimum hypergeometric test</em> and its generalized version the <em>XL-mHG test</em> in the following publications:
 <a class="reference external" href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.0030039">https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.0030039</a>
 <a class="reference external" href="https://arxiv.org/abs/1507.07905">https://arxiv.org/abs/1507.07905</a></p>
-<section id="initialize-an-rankedset-object">
-<h4>Initialize an RankedSet object<a class="headerlink" href="#initialize-an-rankedset-object" title="Permalink to this headline">¶</a></h4>
+<div class="section" id="initialize-an-rankedset-object">
+<h4>Initialize an RankedSet object<a class="headerlink" href="#initialize-an-rankedset-object" title="Permalink to this headline"></a></h4>
 <p>We will start by importing the enrichment module:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">enrichment</span>
 </pre></div>
@@ -1821,9 +1691,9 @@ <h4>Initialize an RankedSet object<a class="headerlink" href="#initialize-an-ran
 </pre></div>
 </div>
 <p>RankedSet objects have three attributes: ranked_genes, a numpy array containing the ranked genomic features; gene_set, a python set containing the genomic features; and set_name, a string that describes the feature set (optional).</p>
-</section>
-<section id="performing-single-set-go-enrichment-analysis-without-a-background-set">
-<h4>Performing single-set GO Enrichment analysis without a background set<a class="headerlink" href="#performing-single-set-go-enrichment-analysis-without-a-background-set" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="performing-single-set-go-enrichment-analysis-without-a-background-set">
+<h4>Performing single-set GO Enrichment analysis without a background set<a class="headerlink" href="#performing-single-set-go-enrichment-analysis-without-a-background-set" title="Permalink to this headline"></a></h4>
 <p>Single-set GO Enrichment works much the same as normal Go Enrichment analysis, with two key differences:</p>
 <p>First, when performing single-set GO Enrichment you do not define a background set to comapre your enrichment gene set against. Instead, you supply a <a class="reference internal" href="glossary.html#term-RankedSet"><span class="xref std std-term">RankedSet</span></a> that defines a meaningful ranking for your gene set.
 Second, you cannot specify which statistical test to use, since the <em>XL-mHG</em> test has to be used.</p>
@@ -1833,9 +1703,9 @@ <h4>Performing single-set GO Enrichment analysis without a background set<a clas
 <span class="gp">&gt;&gt;&gt; </span><span class="n">go_en_result</span> <span class="o">=</span> <span class="n">ranked_set</span><span class="o">.</span><span class="n">single_set_go_enrichment</span><span class="p">(</span><span class="n">gene_id_type</span><span class="o">=</span><span class="s1">&#39;WormBase&#39;</span><span class="p">)</span>
 </pre></div>
 </div>
-</section>
-<section id="performing-single-set-enrichment-analysis-without-a-background-set">
-<h4>Performing single-set enrichment analysis without a background set<a class="headerlink" href="#performing-single-set-enrichment-analysis-without-a-background-set" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="performing-single-set-enrichment-analysis-without-a-background-set">
+<h4>Performing single-set enrichment analysis without a background set<a class="headerlink" href="#performing-single-set-enrichment-analysis-without-a-background-set" title="Permalink to this headline"></a></h4>
 <p>Single-set enrichment analysis for user-defined attributes works much the same as normal enrichment analysis, with two key differences:</p>
 <p>First, when performing single-set GO Enrichment you do not define a background set to comapre your enrichment gene set against. Instead, you supply a <a class="reference internal" href="glossary.html#term-RankedSet"><span class="xref std std-term">RankedSet</span></a> that defines a meaningful ranking for your gene set.
 Second, you cannot specify which statistical test to use, since the <em>XL-mHG</em> test has to be used.</p>
@@ -1845,16 +1715,16 @@ <h4>Performing single-set enrichment analysis without a background set<a class="
 <span class="gp">&gt;&gt;&gt; </span><span class="n">en_result</span> <span class="o">=</span> <span class="n">ranked_set</span><span class="o">.</span><span class="n">single_set_enrichment</span><span class="p">([</span><span class="s1">&#39;attribute1&#39;</span><span class="p">,</span> <span class="s1">&#39;attribute3&#39;</span><span class="p">],</span> <span class="n">attr_ref_path</span><span class="o">=</span><span class="s1">&#39;tests/test_files/attr_ref_table_for_examples.csv&#39;</span><span class="p">)</span>
 </pre></div>
 </div>
-</section>
-</section>
-<section id="visualizing-sets-intersections-and-enrichment">
-<h3>Visualizing sets, intersections, and enrichment<a class="headerlink" href="#visualizing-sets-intersections-and-enrichment" title="Permalink to this headline">¶</a></h3>
-<section id="plotting-results-of-enrichment-analysis">
-<h4>Plotting results of enrichment analysis<a class="headerlink" href="#plotting-results-of-enrichment-analysis" title="Permalink to this headline">¶</a></h4>
+</div>
+</div>
+<div class="section" id="visualizing-sets-intersections-and-enrichment">
+<h3>Visualizing sets, intersections, and enrichment<a class="headerlink" href="#visualizing-sets-intersections-and-enrichment" title="Permalink to this headline"></a></h3>
+<div class="section" id="plotting-results-of-enrichment-analysis">
+<h4>Plotting results of enrichment analysis<a class="headerlink" href="#plotting-results-of-enrichment-analysis" title="Permalink to this headline"></a></h4>
 <p>If you want to plot existing enrichment results using RNAlysis, you can use the <cite>enrichment.plot_enrichment_results()</cite> function. It employs a similar API to the enrichment functions in the enrichment modules, but accepts pre-calculated DataFrames.</p>
-</section>
-<section id="plotting-venn-diagrams-and-upset-plots">
-<h4>Plotting Venn Diagrams and UpSet Plots<a class="headerlink" href="#plotting-venn-diagrams-and-upset-plots" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="plotting-venn-diagrams-and-upset-plots">
+<h4>Plotting Venn Diagrams and UpSet Plots<a class="headerlink" href="#plotting-venn-diagrams-and-upset-plots" title="Permalink to this headline"></a></h4>
 <p>To visualize set intersection using a Venn Diagram or UpSet plot, you first need to define the sets you want to visualize.
 Those sets can be represented using a python dictionary, where each key represents the name of the set, and the corresponding value represents the set’s content (the genomic features that are part of the set).</p>
 <p>There are three ways of specifying a set’s content:</p>
@@ -1871,32 +1741,28 @@ <h4>Plotting Venn Diagrams and UpSet Plots<a class="headerlink" href="#plotting-
 <p>After defining the dictionary of sets, we can use it to plot set intersection via the <cite>enrichment.venn_diagram()</cite> or <cite>enrichment.upset_plot()</cite> functions.
 Venn diagrams in RNAlysis are plotted with relatively accurate proportions and overlaps, and therefore only support up to 3 sets.</p>
 <blockquote>
-<div><figure class="align-center" id="id49">
+<div><div class="figure align-center" id="id49">
 <a class="reference internal image-reference" href="_images/venn.png"><img alt="_images/venn.png" src="_images/venn.png" style="width: 550.1999999999999px; height: 416.5px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id49" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of venn_diagram()</span><a class="headerlink" href="#id49" title="Permalink to this image"></a></p>
+</div>
 </div></blockquote>
 <p>UpSet plots support the visualization of much larger groups of sets. You can read more about UpSet plots here: <a class="reference external" href="https://upset.app/">https://upset.app/</a></p>
 <blockquote>
-<div><figure class="align-center" id="id50">
+<div><div class="figure align-center" id="id50">
 <a class="reference internal image-reference" href="_images/upsetplot.png"><img alt="_images/upsetplot.png" src="_images/upsetplot.png" style="width: 552.3px; height: 340.2px;" /></a>
-<figcaption>
-<p><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id50" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
+<p class="caption"><span class="caption-text">Example plot of upset_plot()</span><a class="headerlink" href="#id50" title="Permalink to this image"></a></p>
+</div>
 </div></blockquote>
-</section>
-</section>
-</section>
-<section id="rnalysis-general-module">
-<h2>RNAlysis general module<a class="headerlink" href="#rnalysis-general-module" title="Permalink to this headline">¶</a></h2>
+</div>
+</div>
+</div>
+<div class="section" id="rnalysis-general-module">
+<h2>RNAlysis general module<a class="headerlink" href="#rnalysis-general-module" title="Permalink to this headline"></a></h2>
 <p>RNAlysis’s general module (rnalysis.general) contains general functions that can be useful during analysis of RNA sequencing data, including regular expression parsers and setting the Reference Table path.</p>
-<section id="set-and-load-a-reference-table">
-<span id="reference-table-ref"></span><h3>Set and load a Reference Table<a class="headerlink" href="#set-and-load-a-reference-table" title="Permalink to this headline">¶</a></h3>
-<section id="what-is-an-attribute-reference-table">
-<h4>What is an Attribute Reference Table?<a class="headerlink" href="#what-is-an-attribute-reference-table" title="Permalink to this headline">¶</a></h4>
+<div class="section" id="set-and-load-a-reference-table">
+<span id="reference-table-ref"></span><h3>Set and load a Reference Table<a class="headerlink" href="#set-and-load-a-reference-table" title="Permalink to this headline"></a></h3>
+<div class="section" id="what-is-an-attribute-reference-table">
+<h4>What is an Attribute Reference Table?<a class="headerlink" href="#what-is-an-attribute-reference-table" title="Permalink to this headline"></a></h4>
 <p>You can perform enrichment analysis or filtering operations based on user-defined attributes (such as ‘genes expressed in intestine’, ‘epigenetic genes’, ‘genes that have paralogs’).
 User-defined attributes should be defined in an <a class="reference internal" href="glossary.html#term-Attribute-Reference-Table"><span class="xref std std-term">Attribute Reference Table</span></a> <cite>csv</cite> file. The format of the <a class="reference internal" href="glossary.html#term-Attribute-Reference-Table"><span class="xref std std-term">Attribute Reference Table</span></a> is one row for each gene/genomic feature, and one column for each attribute. Features that are negative for the attribute (for example, genes that have no paralogs under the attribute ‘genes that have paralogs’) should have the value NaN specified for the attribute, and features that are positive for the attribute (for example, genes that have paralogs under the attribute ‘genes that have paralogs’) should have any value other than NaN. The value could be either a boolean value (in our example, ‘True’ or ‘1’ for genes that have paralogs), a number (in our example, the number of paralogs the gene has or the genomic distance to the nearest paralog), or any other value which is not NaN. See example for an <a class="reference internal" href="glossary.html#term-Attribute-Reference-Table"><span class="xref std std-term">Attribute Reference Table</span></a> below:</p>
 <table class="docutils align-default">
@@ -1941,9 +1807,9 @@ <h4>What is an Attribute Reference Table?<a class="headerlink" href="#what-is-an
 </tr>
 </tbody>
 </table>
-</section>
-<section id="what-is-a-biotype-reference-table">
-<h4>What is a Biotype Reference Table?<a class="headerlink" href="#what-is-a-biotype-reference-table" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="what-is-a-biotype-reference-table">
+<h4>What is a Biotype Reference Table?<a class="headerlink" href="#what-is-a-biotype-reference-table" title="Permalink to this headline"></a></h4>
 <p>You can perform filtering operations or generate background-sets for enrichment analysis based on user-annotated biotypes (such as ‘protein_coding’, ‘pseudogene’, ‘piRNA’, etc).
 User-annotated biotypes should be defined in a <a class="reference internal" href="glossary.html#term-Biotype-Reference-Table"><span class="xref std std-term">Biotype Reference Table</span></a> <cite>csv</cite> file. The format of the <a class="reference internal" href="glossary.html#term-Biotype-Reference-Table"><span class="xref std std-term">Biotype Reference Table</span></a> is one row for each gene/genomic feature, and a column titled ‘biotype’ (case insensitive). See example for a Biotype Reference Table below:</p>
 <table class="docutils align-default">
@@ -1974,9 +1840,9 @@ <h4>What is a Biotype Reference Table?<a class="headerlink" href="#what-is-a-bio
 </tr>
 </tbody>
 </table>
-</section>
-<section id="set-a-reference-table-as-default">
-<h4>Set a Reference Table as default<a class="headerlink" href="#set-a-reference-table-as-default" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="set-a-reference-table-as-default">
+<h4>Set a Reference Table as default<a class="headerlink" href="#set-a-reference-table-as-default" title="Permalink to this headline"></a></h4>
 <p>Once we have an Attribute and/or Biotype Reference Table, we can set it to be the default reference table for all future uses of RNAlysis:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">general</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">path</span><span class="o">=</span><span class="s2">&quot;the_new_attribute_reference_table_path&quot;</span>
@@ -1991,9 +1857,9 @@ <h4>Set a Reference Table as default<a class="headerlink" href="#set-a-reference
 <p>This will create a file called ‘settings.yaml’, which will store the full paths of your reference tables.
 Whenever RNAlysis needs to use an Attribute/Biotype Reference Table and no other path is specified, RNAlysis will automatically use the path saved in the settings file.
 The saved path can be changed any time using the general.set_attr_ref_table_path() and general.set_biotype_ref_table_path() functions.</p>
-</section>
-<section id="load-the-default-attribute-reference-table-path">
-<h4>Load the default Attribute Reference Table path<a class="headerlink" href="#load-the-default-attribute-reference-table-path" title="Permalink to this headline">¶</a></h4>
+</div>
+<div class="section" id="load-the-default-attribute-reference-table-path">
+<h4>Load the default Attribute Reference Table path<a class="headerlink" href="#load-the-default-attribute-reference-table-path" title="Permalink to this headline"></a></h4>
 <p>You can read the saved path from the settings file using the general.read_attr_ref_table_path() and general.read_biotype_ref_table_path() functions:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">general</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">attr_table_path</span> <span class="o">=</span> <span class="n">general</span><span class="o">.</span><span class="n">read_attr_ref_table_path</span><span class="p">()</span>
@@ -2004,10 +1870,10 @@ <h4>Load the default Attribute Reference Table path<a class="headerlink" href="#
 </pre></div>
 </div>
 <p>If an <a class="reference internal" href="glossary.html#term-Attribute-Reference-Table"><span class="xref std std-term">Attribute Reference Table</span></a> path was not previously defined, you will be requested to define it when you run this function.</p>
-</section>
-</section>
-<section id="parse-c-elegans-gene-names-wbgene-indices-and-sequence-names-using-regular-expressions">
-<h3>Parse <em>C. elegans</em> gene names, WBGene indices and sequence names using regular expressions<a class="headerlink" href="#parse-c-elegans-gene-names-wbgene-indices-and-sequence-names-using-regular-expressions" title="Permalink to this headline">¶</a></h3>
+</div>
+</div>
+<div class="section" id="parse-c-elegans-gene-names-wbgene-indices-and-sequence-names-using-regular-expressions">
+<h3>Parse <em>C. elegans</em> gene names, WBGene indices and sequence names using regular expressions<a class="headerlink" href="#parse-c-elegans-gene-names-wbgene-indices-and-sequence-names-using-regular-expressions" title="Permalink to this headline"></a></h3>
 <p>The general module includes functions which can parse <em>C. elegans</em> gene names (like <em>daf-2</em> or <em>lin-15B</em>), WBGene indices (like WBGene00023495) and sequence names (like Y55D5A.5 or T23G5.6).
 For example, we could extract all WBGene indices from the following string:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">rnalysis</span> <span class="kn">import</span> <span class="n">general</span>
@@ -2019,56 +1885,39 @@ <h3>Parse <em>C. elegans</em> gene names, WBGene indices and sequence names usin
 <span class="go">{&#39;WBGene00000001&#39;,&#39;WBGene000000002&#39;,&#39;WBGene00000003&#39;,&#39;WBGene00000004&#39;}</span>
 </pre></div>
 </div>
-</section>
-</section>
-</section>
+</div>
+</div>
+</div>
 
 
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-    <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
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-    <p>
-        &#169; Copyright 2021, Guy Teichman.
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+    <p>&#169; Copyright 2021, Guy Teichman.</p>
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-    Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
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+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
+   
 
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+  <script>
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diff --git a/docs/source/rnalysis.filtering.CountFilter.majority_vote_intersection.rst b/docs/source/rnalysis.filtering.CountFilter.majority_vote_intersection.rst
new file mode 100644
index 000000000..f96293936
--- /dev/null
+++ b/docs/source/rnalysis.filtering.CountFilter.majority_vote_intersection.rst
@@ -0,0 +1,6 @@
+rnalysis.filtering.CountFilter.majority\_vote\_intersection
+===========================================================
+
+.. currentmodule:: rnalysis.filtering
+
+.. automethod:: CountFilter.majority_vote_intersection
\ No newline at end of file
diff --git a/docs/source/rnalysis.filtering.CountFilter.rst b/docs/source/rnalysis.filtering.CountFilter.rst
index 59b6b7550..27c7f0296 100644
--- a/docs/source/rnalysis.filtering.CountFilter.rst
+++ b/docs/source/rnalysis.filtering.CountFilter.rst
@@ -1,4 +1,4 @@
-rnalysis.filtering.CountFilter
+rnalysis.filtering.CountFilter
 ==============================
 
 .. currentmodule:: rnalysis.filtering
@@ -33,6 +33,7 @@ rnalysis.filtering.CountFilter
     CountFilter.from_folder
     CountFilter.head
     CountFilter.intersection
+    CountFilter.majority_vote_intersection
     CountFilter.normalize_to_rpm
     CountFilter.normalize_with_scaling_factors
     CountFilter.number_filters
diff --git a/docs/source/rnalysis.filtering.DESeqFilter.majority_vote_intersection.rst b/docs/source/rnalysis.filtering.DESeqFilter.majority_vote_intersection.rst
new file mode 100644
index 000000000..23084c495
--- /dev/null
+++ b/docs/source/rnalysis.filtering.DESeqFilter.majority_vote_intersection.rst
@@ -0,0 +1,6 @@
+rnalysis.filtering.DESeqFilter.majority\_vote\_intersection
+===========================================================
+
+.. currentmodule:: rnalysis.filtering
+
+.. automethod:: DESeqFilter.majority_vote_intersection
\ No newline at end of file
diff --git a/docs/source/rnalysis.filtering.DESeqFilter.rst b/docs/source/rnalysis.filtering.DESeqFilter.rst
index d9c87cd4d..8f8f4ca6f 100644
--- a/docs/source/rnalysis.filtering.DESeqFilter.rst
+++ b/docs/source/rnalysis.filtering.DESeqFilter.rst
@@ -1,4 +1,4 @@
-rnalysis.filtering.DESeqFilter
+rnalysis.filtering.DESeqFilter
 ==============================
 
 .. currentmodule:: rnalysis.filtering
@@ -29,6 +29,7 @@ rnalysis.filtering.DESeqFilter
     DESeqFilter.filter_top_n
     DESeqFilter.head
     DESeqFilter.intersection
+    DESeqFilter.majority_vote_intersection
     DESeqFilter.number_filters
     DESeqFilter.print_features
     DESeqFilter.save_csv
diff --git a/docs/source/rnalysis.filtering.Filter.majority_vote_intersection.rst b/docs/source/rnalysis.filtering.Filter.majority_vote_intersection.rst
new file mode 100644
index 000000000..cd4f274f5
--- /dev/null
+++ b/docs/source/rnalysis.filtering.Filter.majority_vote_intersection.rst
@@ -0,0 +1,6 @@
+rnalysis.filtering.Filter.majority\_vote\_intersection
+======================================================
+
+.. currentmodule:: rnalysis.filtering
+
+.. automethod:: Filter.majority_vote_intersection
\ No newline at end of file
diff --git a/docs/source/rnalysis.filtering.Filter.rst b/docs/source/rnalysis.filtering.Filter.rst
index 0974f920f..33b2f01e0 100644
--- a/docs/source/rnalysis.filtering.Filter.rst
+++ b/docs/source/rnalysis.filtering.Filter.rst
@@ -1,4 +1,4 @@
-rnalysis.filtering.Filter
+rnalysis.filtering.Filter
 =========================
 
 .. currentmodule:: rnalysis.filtering
@@ -26,6 +26,7 @@ rnalysis.filtering.Filter
     Filter.filter_top_n
     Filter.head
     Filter.intersection
+    Filter.majority_vote_intersection
     Filter.number_filters
     Filter.print_features
     Filter.save_csv
diff --git a/docs/source/rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.rst b/docs/source/rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.rst
new file mode 100644
index 000000000..940b8a845
--- /dev/null
+++ b/docs/source/rnalysis.filtering.FoldChangeFilter.majority_vote_intersection.rst
@@ -0,0 +1,6 @@
+rnalysis.filtering.FoldChangeFilter.majority\_vote\_intersection
+================================================================
+
+.. currentmodule:: rnalysis.filtering
+
+.. automethod:: FoldChangeFilter.majority_vote_intersection
\ No newline at end of file
diff --git a/docs/source/rnalysis.filtering.FoldChangeFilter.rst b/docs/source/rnalysis.filtering.FoldChangeFilter.rst
index 06497d196..bf5f193e1 100644
--- a/docs/source/rnalysis.filtering.FoldChangeFilter.rst
+++ b/docs/source/rnalysis.filtering.FoldChangeFilter.rst
@@ -1,4 +1,4 @@
-rnalysis.filtering.FoldChangeFilter
+rnalysis.filtering.FoldChangeFilter
 ===================================
 
 .. currentmodule:: rnalysis.filtering
@@ -28,6 +28,7 @@ rnalysis.filtering.FoldChangeFilter
     FoldChangeFilter.filter_top_n
     FoldChangeFilter.head
     FoldChangeFilter.intersection
+    FoldChangeFilter.majority_vote_intersection
     FoldChangeFilter.number_filters
     FoldChangeFilter.print_features
     FoldChangeFilter.randomization_test